{"id":"https://openalex.org/W2169541951","doi":"https://doi.org/10.1186/1471-2105-9-209","title":"Discovering biclusters in gene expression data based on high-dimensional linear geometries","display_name":"Discovering biclusters in gene expression data based on high-dimensional linear geometries","publication_year":2008,"publication_date":"2008-04-23","ids":{"openalex":"https://openalex.org/W2169541951","doi":"https://doi.org/10.1186/1471-2105-9-209","mag":"2169541951","pmid":"https://pubmed.ncbi.nlm.nih.gov/18433477"},"language":"en","primary_location":{"id":"doi:10.1186/1471-2105-9-209","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-9-209","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-9-209","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-9-209","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087273370","display_name":"Xiangchao Gan","orcid":"https://orcid.org/0000-0001-6398-5191"},"institutions":[{"id":"https://openalex.org/I183935753","display_name":"King's College London","ror":"https://ror.org/0220mzb33","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I183935753"]},{"id":"https://openalex.org/I4210119896","display_name":"King's College School","ror":"https://ror.org/02bbqcn27","country_code":"GB","type":"education","lineage":["https://openalex.org/I4210119896"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Xiangchao Gan","raw_affiliation_strings":["Department of Computer Science, King's College London, UK. xiang.gan@kcl.ac.uk","Department of Computer Science, King's College London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, King's College London, UK. xiang.gan@kcl.ac.uk","institution_ids":["https://openalex.org/I4210119896","https://openalex.org/I183935753"]},{"raw_affiliation_string":"Department of Computer Science, King's College London, UK","institution_ids":["https://openalex.org/I183935753"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091254555","display_name":"Alan Wee\u2010Chung Liew","orcid":"https://orcid.org/0000-0001-6718-7584"},"institutions":[{"id":"https://openalex.org/I11701301","display_name":"Griffith University","ror":"https://ror.org/02sc3r913","country_code":"AU","type":"education","lineage":["https://openalex.org/I11701301"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Alan Wee-Chung Liew","raw_affiliation_strings":["School of Information & Communication Technology, Griffith University, Queensland, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information & Communication Technology, Griffith University, Queensland, Australia","institution_ids":["https://openalex.org/I11701301"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100644375","display_name":"Hong Yan","orcid":"https://orcid.org/0000-0001-9661-3095"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"The University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]},{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["AU","HK"],"is_corresponding":false,"raw_author_name":"Hong Yan","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China","School of Electrical & Information Engineering, University of Sydney, NSW, 2006, Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"School of Electrical & Information Engineering, University of Sydney, NSW, 2006, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5091254555"],"corresponding_institution_ids":["https://openalex.org/I11701301"],"apc_list":{"value":1690,"currency":"GBP","value_usd":2072},"apc_paid":{"value":1690,"currency":"GBP","value_usd":2072},"fwci":4.4922,"has_fulltext":true,"cited_by_count":93,"citation_normalized_percentile":{"value":0.95354009,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"9","issue":"1","first_page":"209","last_page":"209"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9136000275611877,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9136000275611877,"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/T12923","display_name":"Digital Image Processing Techniques","score":0.00800000037997961,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12867","display_name":"Advanced Biosensing Techniques and Applications","score":0.007499999832361937,"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/biclustering","display_name":"Biclustering","score":0.7966911792755127},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5248154401779175},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5191901922225952},{"id":"https://openalex.org/keywords/hyperplane","display_name":"Hyperplane","score":0.5115595459938049},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46607303619384766},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4062395989894867},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.386454313993454},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.33731821179389954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30622225999832153},{"id":"https://openalex.org/keywords/fuzzy-clustering","display_name":"Fuzzy clustering","score":0.1326785385608673}],"concepts":[{"id":"https://openalex.org/C144817290","wikidata":"https://www.wikidata.org/wiki/Q2976575","display_name":"Biclustering","level":5,"score":0.7966911792755127},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5248154401779175},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5191901922225952},{"id":"https://openalex.org/C68693459","wikidata":"https://www.wikidata.org/wiki/Q657586","display_name":"Hyperplane","level":2,"score":0.5115595459938049},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46607303619384766},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4062395989894867},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.386454313993454},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.33731821179389954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30622225999832153},{"id":"https://openalex.org/C17212007","wikidata":"https://www.wikidata.org/wiki/Q5511111","display_name":"Fuzzy clustering","level":3,"score":0.1326785385608673},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"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":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003627","descriptor_name":"Data Interpretation, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003662","descriptor_name":"Decision Theory","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003662","descriptor_name":"Decision Theory","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003662","descriptor_name":"Decision Theory","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":"D008223","descriptor_name":"Lymphoma","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D008223","descriptor_name":"Lymphoma","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D008223","descriptor_name":"Lymphoma","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","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":"D015870","descriptor_name":"Gene Expression","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016014","descriptor_name":"Linear Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","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":"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":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1186/1471-2105-9-209","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-9-209","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-9-209","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:18433477","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/18433477","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":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:doaj.org/article:c5e4f2676eb04f7a8b8afe90db03c777","is_oa":true,"landing_page_url":"https://doaj.org/article/c5e4f2676eb04f7a8b8afe90db03c777","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":"BMC Bioinformatics, Vol 9, Iss 1, p 209 (2008)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:2386490","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2386490","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":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:pure.atira.dk:publications/7aa8ed87-a3ca-459e-8ce4-c57a5ef834a3","is_oa":true,"landing_page_url":"https://hdl.handle.net/2031/7aa8ed87-a3ca-459e-8ce4-c57a5ef834a3","pdf_url":null,"source":{"id":"https://openalex.org/S7407055387","display_name":"CityU Scholars","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Gan, X, Liew, A W-C & Yan, H 2008, 'Discovering biclusters in gene expression data based on high-dimensional linear geometries', BMC Bioinformatics, vol. 9, 209. https://doi.org/10.1186/1471-2105-9-209","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:research-repository.griffith.edu.au:10072/21273","is_oa":true,"landing_page_url":"http://hdl.handle.net/10072/21273","pdf_url":null,"source":{"id":"https://openalex.org/S4306402548","display_name":"Griffith Research Online (Griffith University, Queensland, Australia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I11701301","host_organization_name":"Griffith University","host_organization_lineage":["https://openalex.org/I11701301"],"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":"Journal article"}],"best_oa_location":{"id":"doi:10.1186/1471-2105-9-209","is_oa":true,"landing_page_url":"https://doi.org/10.1186/1471-2105-9-209","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-9-209","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6993284288","display_name":"Stochastic Local Search Algorithms for Structural Proteomics","funder_award_id":"EP/D062012/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2169541951.pdf","grobid_xml":"https://content.openalex.org/works/W2169541951.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W196542726","https://openalex.org/W601739477","https://openalex.org/W1493217831","https://openalex.org/W1516680908","https://openalex.org/W1557276018","https://openalex.org/W1963916765","https://openalex.org/W1976110793","https://openalex.org/W1995376165","https://openalex.org/W2004492169","https://openalex.org/W2012653948","https://openalex.org/W2036328877","https://openalex.org/W2058849889","https://openalex.org/W2064787891","https://openalex.org/W2079805598","https://openalex.org/W2084277175","https://openalex.org/W2105883975","https://openalex.org/W2109363337","https://openalex.org/W2111203738","https://openalex.org/W2120246066","https://openalex.org/W2130158951","https://openalex.org/W2135000328","https://openalex.org/W2135187880","https://openalex.org/W2136107412","https://openalex.org/W2143065952","https://openalex.org/W2144544802","https://openalex.org/W2144792853","https://openalex.org/W2147246240","https://openalex.org/W2150926065","https://openalex.org/W2151763757","https://openalex.org/W2156226171","https://openalex.org/W2158128075","https://openalex.org/W2161732139","https://openalex.org/W2165011536","https://openalex.org/W2165336645","https://openalex.org/W2166193144","https://openalex.org/W2740373864","https://openalex.org/W2796856748","https://openalex.org/W4237913625","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2369655046","https://openalex.org/W1974340769","https://openalex.org/W2019467317","https://openalex.org/W2900595096","https://openalex.org/W4289277241","https://openalex.org/W2979322793","https://openalex.org/W1585519779","https://openalex.org/W2765801824","https://openalex.org/W2611629964","https://openalex.org/W2113284213"],"abstract_inverted_index":{"BACKGROUND:":[0],"In":[1,123],"DNA":[2],"microarray":[3,314],"experiments,":[4],"discovering":[5],"groups":[6],"of":[7,30,39,76,84,110,119,144,176,185,219,249,259,270,277,287,307,311],"genes":[8,31,77,308],"that":[9,44,205,241,266],"share":[10],"similar":[11],"transcriptional":[12],"characteristics":[13],"is":[14,139],"instrumental":[15],"in":[16,25,52,64,147,164,279],"functional":[17],"annotation,":[18],"tissue":[19],"classification":[20],"and":[21,169,211],"motif":[22],"identification.":[23],"However,":[24,86],"many":[26,267],"situations":[27],"a":[28,37,74,82,98,116,128,148,154,165,182,196,216,225,255,280],"subset":[29,38,75,83],"only":[32,114],"exhibits":[33],"consistent":[34,79],"pattern":[35,80],"over":[36,81],"conditions.":[40,85],"Conventional":[41],"clustering":[42],"algorithms":[43,90,112],"deal":[45],"with":[46,159],"the":[47,65,133,142,201,207,260,288,292],"entire":[48],"row":[49],"or":[50],"column":[51],"an":[53],"expression":[54,238],"matrix":[55,100],"would":[56],"therefore":[57],"fail":[58],"to":[59,72,172,194,302],"detect":[60,73,115],"these":[61,111],"useful":[62],"patterns":[63,161,178],"data.":[66],"Recently,":[67],"biclustering":[68,89,134,137,261],"has":[69],"been":[70],"proposed":[71,254],"exhibiting":[78],"most":[87,109],"existing":[88],"are":[91,272],"based":[92],"on":[93,234],"searching":[94],"for":[95,132,296,313],"sub-matrices":[96],"within":[97],"data":[99,151,283,315],"by":[101,180],"optimizing":[102],"certain":[103],"heuristically":[104],"defined":[105],"merit":[106],"functions.":[107],"Moreover,":[108],"can":[113,244,299],"restricted":[117],"set":[118,184],"bicluster":[120,198,213,271],"patterns.":[121],"RESULTS:":[122],"this":[124],"paper,":[125],"we":[126,222],"present":[127],"novel":[129,256],"geometric":[130,189,257,289],"perspective":[131,156],"problem.":[135,262],"The":[136,231],"process":[138],"interpreted":[140],"as":[141,162],"detection":[143,229,298],"linear":[145,177,186,202],"geometries":[146],"high":[149,166,281],"dimensional":[150,167,282],"space.":[152,284],"Such":[153],"new":[155],"views":[157],"biclusters":[158],"different":[160,174,274],"hyperplanes":[163,278],"space,":[168],"allows":[170],"us":[171,193],"handle":[173],"types":[175,269],"simultaneously":[179],"matching":[181],"specific":[183],"geometries.":[187],"This":[188],"viewpoint":[190],"also":[191],"inspires":[192],"propose":[195],"generic":[197],"pattern,":[199],"i.e.":[200],"coherent":[203],"model":[204],"unifies":[206],"seemingly":[208],"incompatible":[209],"additive":[210],"multiplicative":[212],"models.":[214],"As":[215],"particular":[217],"realization":[218],"our":[220,242],"framework,":[221],"have":[223,253,264],"implemented":[224],"Hough":[226,294],"transform-based":[227],"hyperplane":[228,297],"algorithm.":[230],"experimental":[232],"results":[233],"human":[235],"lymphoma":[236],"gene":[237],"dataset":[239],"show":[240],"algorithm":[243],"find":[245],"biologically":[246,304],"significant":[247,305],"subsets":[248,306,310],"genes.":[250],"CONCLUSION:":[251],"We":[252,263],"interpretation":[258],"shown":[265],"common":[268],"just":[273],"spatial":[275],"arrangements":[276],"An":[285],"implementation":[286],"framework":[290],"using":[291],"Fast":[293],"transform":[295],"be":[300],"used":[301],"discover":[303],"under":[309],"conditions":[312],"analysis.":[316]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":8},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":8},{"year":2012,"cited_by_count":11}],"updated_date":"2026-06-06T09:05:17.133730","created_date":"2025-10-10T00:00:00"}