{"id":"https://openalex.org/W2025897051","doi":"https://doi.org/10.1371/journal.pcbi.1001106","title":"Integrative Analysis of Many Weighted Co-Expression Networks Using Tensor Computation","display_name":"Integrative Analysis of Many Weighted Co-Expression Networks Using Tensor Computation","publication_year":2011,"publication_date":"2011-06-16","ids":{"openalex":"https://openalex.org/W2025897051","doi":"https://doi.org/10.1371/journal.pcbi.1001106","mag":"2025897051","pmid":"https://pubmed.ncbi.nlm.nih.gov/21698123"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1001106","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1001106","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1001106&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1001106&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100360786","display_name":"Wenyuan Li","orcid":"https://orcid.org/0000-0001-9385-3069"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenyuan Li","raw_affiliation_strings":["Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, California, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, California, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030773606","display_name":"Chun-Chi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun-Chi Liu","raw_affiliation_strings":["Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, California, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, California, United States of America","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101935117","display_name":"Tong Zhang","orcid":"https://orcid.org/0009-0001-4836-4116"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tong Zhang","raw_affiliation_strings":["Department of Statistics, Rutgers University, New Brunswick, New Jersey, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Rutgers University, New Brunswick, New Jersey, United States of America","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398351","display_name":"Haifeng Li","orcid":"https://orcid.org/0000-0002-9850-6688"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Haifeng Li","raw_affiliation_strings":["Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, California, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, California, United States of America","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105360062","display_name":"Michael S. Waterman","orcid":null},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael S. Waterman","raw_affiliation_strings":["Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, California, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, California, United States of America","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050577808","display_name":"Xianghong Jasmine Zhou","orcid":"https://orcid.org/0000-0002-4522-7490"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xianghong Jasmine Zhou","raw_affiliation_strings":["Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, California, United States of America"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Molecular and Computational Biology, Department of Biological Sciences, University of Southern California, Los Angeles, California, United States of America","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5050577808"],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":4.137,"has_fulltext":true,"cited_by_count":156,"citation_normalized_percentile":{"value":0.95140406,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"7","issue":"6","first_page":"e1001106","last_page":"e1001106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/biological-network","display_name":"Biological network","score":0.738447368144989},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6229679584503174},{"id":"https://openalex.org/keywords/network-analysis","display_name":"Network analysis","score":0.5411086082458496},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4806995987892151},{"id":"https://openalex.org/keywords/weighted-network","display_name":"Weighted network","score":0.456163227558136},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4476258158683777},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.4471563994884491},{"id":"https://openalex.org/keywords/tensor","display_name":"Tensor (intrinsic definition)","score":0.4270963668823242},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3792623281478882},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3649594485759735},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35453519225120544},{"id":"https://openalex.org/keywords/complex-network","display_name":"Complex network","score":0.34247148036956787},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2747688889503479},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2727382779121399},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.20811587572097778}],"concepts":[{"id":"https://openalex.org/C28225019","wikidata":"https://www.wikidata.org/wiki/Q4915005","display_name":"Biological network","level":2,"score":0.738447368144989},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6229679584503174},{"id":"https://openalex.org/C32946077","wikidata":"https://www.wikidata.org/wiki/Q618079","display_name":"Network analysis","level":2,"score":0.5411086082458496},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4806995987892151},{"id":"https://openalex.org/C142323842","wikidata":"https://www.wikidata.org/wiki/Q7979900","display_name":"Weighted network","level":3,"score":0.456163227558136},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4476258158683777},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.4471563994884491},{"id":"https://openalex.org/C155281189","wikidata":"https://www.wikidata.org/wiki/Q3518150","display_name":"Tensor (intrinsic definition)","level":2,"score":0.4270963668823242},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3792623281478882},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3649594485759735},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35453519225120544},{"id":"https://openalex.org/C34947359","wikidata":"https://www.wikidata.org/wiki/Q665189","display_name":"Complex network","level":2,"score":0.34247148036956787},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2747688889503479},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2727382779121399},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.20811587572097778},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005786","descriptor_name":"Gene Expression Regulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005786","descriptor_name":"Gene Expression Regulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005786","descriptor_name":"Gene Expression Regulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008957","descriptor_name":"Models, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011506","descriptor_name":"Proteins","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012815","descriptor_name":"Signal Processing, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D030562","descriptor_name":"Databases, Protein","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":7,"locations":[{"id":"doi:10.1371/journal.pcbi.1001106","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1001106","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1001106&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS Computational Biology","raw_type":"journal-article"},{"id":"pmid:21698123","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21698123","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS computational biology","raw_type":null},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.372.8412","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.372.8412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.cmb.usc.edu/papers/msw_papers/msw-177.pdf","raw_type":"text"},{"id":"pmh:oai:doaj.org/article:18f24cf0c91f4f6cbe969ed934204bb5","is_oa":true,"landing_page_url":"https://doaj.org/article/18f24cf0c91f4f6cbe969ed934204bb5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 7, Iss 6, p e1001106 (2011)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/135872","is_oa":true,"landing_page_url":"https://figshare.com/articles/Integrative_Analysis_of_Many_Weighted_Co_Expression_Networks_Using_Tensor_Computation/135872","pdf_url":null,"source":{"id":"https://openalex.org/S4306402621","display_name":"INDIGO (University of Illinois at Chicago)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I39422238","host_organization_name":"University of Illinois Chicago","host_organization_lineage":["https://openalex.org/I39422238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Dataset"},{"id":"pmh:oai:pubmedcentral.nih.gov:3116899","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3116899","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"},{"id":"pmh:oai:repository.ust.hk:1783.1-98290","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=1553-734X&rft.volume=7&rft.issue=(6)&rft.date=2011&rft.spage=&rft.aulast=Li&rft.aufirst=&rft.atitle=Integrative%20analysis%20of%20many%20weighted%20Co-Expression%20networks%20using%20tensor%20computation&rft.title=PLoS%20Computational%20Biology","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1001106","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1001106","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1001106&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G1071421479","display_name":"CAREER: Integrated Approaches to Mapping Genome to Phenome","funder_award_id":"0747475","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4459641301","display_name":null,"funder_award_id":"R21 AG031723","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G5697733098","display_name":null,"funder_award_id":"R21 AG032743","funder_id":"https://openalex.org/F4320337337","funder_display_name":"National Institute on Aging"},{"id":"https://openalex.org/G5867466308","display_name":"High Dimensional Statistical Theory for Sparse Regularization","funder_award_id":"1007527","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6931142019","display_name":null,"funder_award_id":"R01 GM074163","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320309374","display_name":"Ohio State University","ror":"https://ror.org/00rs6vg23"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2025897051.pdf","grobid_xml":"https://content.openalex.org/works/W2025897051.grobid-xml"},"referenced_works_count":82,"referenced_works":["https://openalex.org/W80618698","https://openalex.org/W1552512571","https://openalex.org/W1578099820","https://openalex.org/W1581656968","https://openalex.org/W1587153539","https://openalex.org/W1599622173","https://openalex.org/W1608153918","https://openalex.org/W1642278221","https://openalex.org/W1870083876","https://openalex.org/W1963826206","https://openalex.org/W1966069933","https://openalex.org/W1970950689","https://openalex.org/W1974555355","https://openalex.org/W1980456204","https://openalex.org/W1981765976","https://openalex.org/W1983345514","https://openalex.org/W1984209790","https://openalex.org/W1984990881","https://openalex.org/W1992467108","https://openalex.org/W1993589664","https://openalex.org/W1994727741","https://openalex.org/W2003516452","https://openalex.org/W2014516283","https://openalex.org/W2027022789","https://openalex.org/W2027470314","https://openalex.org/W2027559251","https://openalex.org/W2027770225","https://openalex.org/W2037360998","https://openalex.org/W2038784978","https://openalex.org/W2038793346","https://openalex.org/W2046667138","https://openalex.org/W2049161990","https://openalex.org/W2057568687","https://openalex.org/W2061913778","https://openalex.org/W2063698478","https://openalex.org/W2071829358","https://openalex.org/W2076845045","https://openalex.org/W2081504597","https://openalex.org/W2091931698","https://openalex.org/W2098144427","https://openalex.org/W2100608021","https://openalex.org/W2103017472","https://openalex.org/W2103835486","https://openalex.org/W2106202847","https://openalex.org/W2108090678","https://openalex.org/W2109464129","https://openalex.org/W2116961371","https://openalex.org/W2117486132","https://openalex.org/W2120077398","https://openalex.org/W2120453508","https://openalex.org/W2121275167","https://openalex.org/W2126969584","https://openalex.org/W2128084896","https://openalex.org/W2129256542","https://openalex.org/W2132914434","https://openalex.org/W2134193091","https://openalex.org/W2134209808","https://openalex.org/W2141146725","https://openalex.org/W2142237411","https://openalex.org/W2148043260","https://openalex.org/W2148507357","https://openalex.org/W2148541040","https://openalex.org/W2149083629","https://openalex.org/W2150516767","https://openalex.org/W2152495216","https://openalex.org/W2160556205","https://openalex.org/W2163480486","https://openalex.org/W2165442817","https://openalex.org/W2165874743","https://openalex.org/W2166765763","https://openalex.org/W2166956514","https://openalex.org/W2168474259","https://openalex.org/W2490308495","https://openalex.org/W2910028034","https://openalex.org/W2917431650","https://openalex.org/W2940597742","https://openalex.org/W4230727635","https://openalex.org/W6639058257","https://openalex.org/W6684578312","https://openalex.org/W7019666765","https://openalex.org/W7036374396","https://openalex.org/W7048074144"],"related_works":["https://openalex.org/W2070704205","https://openalex.org/W2353485001","https://openalex.org/W3087005418","https://openalex.org/W3134928396","https://openalex.org/W2578454336","https://openalex.org/W2901655697","https://openalex.org/W2394794438","https://openalex.org/W2727283706","https://openalex.org/W1525985997","https://openalex.org/W108107911"],"abstract_inverted_index":{"The":[0],"rapid":[1],"accumulation":[2],"of":[3,20,26,56,84,163,192,224,239],"biological":[4,155,165,197],"networks":[5,27,51,58,262],"poses":[6],"new":[7],"challenges":[8],"and":[9,34,123,137,263],"calls":[10],"for":[11,31,75,174],"powerful":[12],"integrative":[13,194],"analysis":[14,233],"tools.":[15],"Most":[16],"existing":[17],"methods":[18],"capable":[19],"simultaneously":[21],"analyzing":[22],"a":[23,60,70,81,98,118,124,160,175,221,236],"large":[24,82,161,222],"number":[25,223],"were":[28],"primarily":[29],"designed":[30],"unweighted":[32,50,215],"networks,":[33,136,188],"cannot":[35],"easily":[36],"be":[37,179,212],"extended":[38],"to":[39,64,112,133,178,196],"weighted":[40,48,57,86,205],"networks.":[41,87,266],"However,":[42],"it":[43],"is":[44],"known":[45],"that":[46,149,171,210,226],"transforming":[47],"into":[49,144],"by":[52,116,157,247],"dichotomizing":[53],"the":[54,91,150,172,190,193,244],"edges":[55],"with":[59,104,183],"threshold":[61],"generally":[62],"leads":[63],"information":[65],"loss.":[66],"We":[67,107,129,147,168],"have":[68],"developed":[69],"novel,":[71],"tensor-based":[72],"computational":[73],"framework":[74],"mining":[76],"recurrent":[77,92,140],"heavy":[78,93,99,141,176],"subgraphs":[79,152],"in":[80,186,235,259],"set":[83,162],"massive":[85],"Specifically,":[88],"we":[89,219,254],"formulate":[90],"subgraph":[94,177],"identification":[95],"problem":[96,103,115],"as":[97],"3D":[100],"subtensor":[101],"discovery":[102],"sparse":[105],"constraints.":[106],"describe":[108],"an":[109],"effective":[110],"approach":[111,195,202],"solving":[113],"this":[114],"designing":[117],"multi-stage,":[119],"convex":[120],"relaxation":[121],"protocol,":[122],"non-uniform":[125],"edge":[126],"sampling":[127],"technique.":[128],"applied":[130],"our":[131,201],"method":[132],"130":[134],"co-expression":[135],"identified":[138,151,220],"11,394":[139],"subgraphs,":[142],"grouped":[143],"2,810":[145],"families.":[146],"demonstrated":[148],"represent":[153],"meaningful":[154,180],"modules":[156,225,242],"validating":[158],"against":[159],"compiled":[164],"knowledge":[166],"bases.":[167],"also":[169],"showed":[170],"likelihood":[173],"increases":[181],"significantly":[182],"its":[184],"recurrence":[185],"multiple":[187],"highlighting":[189],"importance":[191],"network":[198,241],"analysis.":[199],"Moreover,":[200],"based":[203],"on":[204],"graphs":[206],"detects":[207],"many":[208,252],"patterns":[209],"would":[211],"overlooked":[213],"using":[214],"graphs.":[216],"In":[217],"addition,":[218],"occur":[227],"predominately":[228],"under":[229],"specific":[230],"phenotypes.":[231],"This":[232],"resulted":[234],"genome-wide":[237],"mapping":[238],"gene":[240],"onto":[243],"phenome.":[245],"Finally,":[246],"comparing":[248],"module":[249],"activities":[250],"across":[251],"datasets,":[253],"discovered":[255],"high-order":[256],"dynamic":[257],"cooperativeness":[258],"protein":[260],"complex":[261],"transcriptional":[264],"regulatory":[265]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":16},{"year":2018,"cited_by_count":39},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":12},{"year":2015,"cited_by_count":12},{"year":2014,"cited_by_count":10},{"year":2013,"cited_by_count":15},{"year":2012,"cited_by_count":7}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
