{"id":"https://openalex.org/W2366061952","doi":"https://doi.org/10.1093/bioinformatics/bty724","title":"The Distance Precision Matrix: computing networks from non-linear relationships","display_name":"The Distance Precision Matrix: computing networks from non-linear relationships","publication_year":2018,"publication_date":"2018-08-23","ids":{"openalex":"https://openalex.org/W2366061952","doi":"https://doi.org/10.1093/bioinformatics/bty724","mag":"2366061952","pmid":"https://pubmed.ncbi.nlm.nih.gov/30165509"},"language":"en","primary_location":{"id":"doi:10.1093/bioinformatics/bty724","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bty724","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/35/6/1009/48967765/bioinformatics_35_6_1009.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","datacite","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://academic.oup.com/bioinformatics/article-pdf/35/6/1009/48967765/bioinformatics_35_6_1009.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5004668950","display_name":"Mahsa Ghanbari","orcid":"https://orcid.org/0000-0002-6015-2968"},"institutions":[{"id":"https://openalex.org/I4210142260","display_name":"Max Planck Institute for Molecular Genetics","ror":"https://ror.org/03ate3e03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210142260"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Mahsa Ghanbari","raw_affiliation_strings":["Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, D-14195 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, D-14195 Berlin, Germany","institution_ids":["https://openalex.org/I4210142260"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023975890","display_name":"Julia Lasserre","orcid":"https://orcid.org/0009-0000-2222-8282"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Julia Lasserre","raw_affiliation_strings":["Zalando Research, M\u00fchlenstr. 25, D-10243 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zalando Research, M\u00fchlenstr. 25, D-10243 Berlin, Germany","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009628707","display_name":"Martin Vingron","orcid":"https://orcid.org/0000-0002-1765-4241"},"institutions":[{"id":"https://openalex.org/I4210142260","display_name":"Max Planck Institute for Molecular Genetics","ror":"https://ror.org/03ate3e03","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210142260"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Martin Vingron","raw_affiliation_strings":["Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, D-14195 Berlin, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computational Molecular Biology, Max Planck Institute for Molecular Genetics, D-14195 Berlin, Germany","institution_ids":["https://openalex.org/I4210142260"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5004668950","https://openalex.org/A5009628707"],"corresponding_institution_ids":["https://openalex.org/I4210142260"],"apc_list":{"value":3989,"currency":"USD","value_usd":3989},"apc_paid":{"value":3989,"currency":"USD","value_usd":3989},"fwci":0.8258,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.74588123,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"35","issue":"6","first_page":"1009","last_page":"1017"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.3652999997138977,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.3652999997138977,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.1770000010728836,"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/T10136","display_name":"Statistical Methods and Inference","score":0.06279999762773514,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/distance-matrix","display_name":"Distance matrix","score":0.6224806308746338},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5855615139007568},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5828808546066284},{"id":"https://openalex.org/keywords/covariance-matrix","display_name":"Covariance matrix","score":0.5610989928245544},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5497995018959045},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5486323833465576},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5152304768562317},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48381370306015015},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4578148424625397},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45519956946372986},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.45477294921875},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3807029724121094},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24804472923278809},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.081362783908844},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0705781877040863}],"concepts":[{"id":"https://openalex.org/C111208986","wikidata":"https://www.wikidata.org/wiki/Q901698","display_name":"Distance matrix","level":2,"score":0.6224806308746338},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5855615139007568},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5828808546066284},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5610989928245544},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5497995018959045},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5486323833465576},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5152304768562317},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48381370306015015},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4578148424625397},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45519956946372986},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.45477294921875},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3807029724121094},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24804472923278809},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.081362783908844},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0705781877040863},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005786","descriptor_name":"Gene Expression Regulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005786","descriptor_name":"Gene Expression Regulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005786","descriptor_name":"Gene Expression Regulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D018401","descriptor_name":"Sample Size","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":false},{"descriptor_ui":"D053263","descriptor_name":"Gene Regulatory Networks","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":false}],"locations_count":8,"locations":[{"id":"doi:10.1093/bioinformatics/bty724","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bty724","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/35/6/1009/48967765/bioinformatics_35_6_1009.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},{"id":"pmid:30165509","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30165509","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":"Bioinformatics (Oxford, England)","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:1605.03378","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1605.03378","pdf_url":"https://arxiv.org/pdf/1605.03378","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:europepmc.org:5408856","is_oa":false,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6420154","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6420154","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6420154","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bioinformatics","raw_type":"Text"},{"id":"mag:2366061952","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1605.03378.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:pure.mpg.de:item_3047964","is_oa":true,"landing_page_url":"http://hdl.handle.net/21.11116/0000-0003-73F0-C","pdf_url":null,"source":{"id":"https://openalex.org/S4306400654","display_name":"MPG.PuRe (Max Planck Society)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149899117","host_organization_name":"Max Planck Society","host_organization_lineage":["https://openalex.org/I149899117"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Bioinformatics","raw_type":"info:eu-repo/semantics/article"},{"id":"doi:10.48550/arxiv.1605.03378","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1605.03378","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.1093/bioinformatics/bty724","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bioinformatics/bty724","pdf_url":"https://academic.oup.com/bioinformatics/article-pdf/35/6/1009/48967765/bioinformatics_35_6_1009.pdf","source":{"id":"https://openalex.org/S52395412","display_name":"Bioinformatics","issn_l":"1367-4803","issn":["1367-4803","1367-4811"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3584653315","display_name":null,"funder_award_id":"Graduiertenkolleg 1772","funder_id":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft"}],"funders":[{"id":"https://openalex.org/F4320320879","display_name":"Deutsche Forschungsgemeinschaft","ror":"https://ror.org/018mejw64"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2366061952.pdf","grobid_xml":"https://content.openalex.org/works/W2366061952.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1546618541","https://openalex.org/W1554338108","https://openalex.org/W1905165981","https://openalex.org/W1966716734","https://openalex.org/W1970344715","https://openalex.org/W1979762151","https://openalex.org/W1990512452","https://openalex.org/W1992069167","https://openalex.org/W2008545402","https://openalex.org/W2015208937","https://openalex.org/W2023348596","https://openalex.org/W2060754092","https://openalex.org/W2080748115","https://openalex.org/W2097777089","https://openalex.org/W2099380913","https://openalex.org/W2109384743","https://openalex.org/W2113583687","https://openalex.org/W2138905229","https://openalex.org/W2139997707","https://openalex.org/W2143076232","https://openalex.org/W2145979309","https://openalex.org/W2149350210","https://openalex.org/W2152482800","https://openalex.org/W2163296115","https://openalex.org/W2163296727","https://openalex.org/W2165700458","https://openalex.org/W2337819340","https://openalex.org/W2588106347","https://openalex.org/W2963503333","https://openalex.org/W3099289621","https://openalex.org/W3106063097","https://openalex.org/W4247458062","https://openalex.org/W4388323202","https://openalex.org/W6665540228"],"related_works":["https://openalex.org/W2185212216","https://openalex.org/W2983144912","https://openalex.org/W2129566246","https://openalex.org/W2037075417","https://openalex.org/W2917866518","https://openalex.org/W71590978","https://openalex.org/W2754846053","https://openalex.org/W3004253194","https://openalex.org/W2073393212","https://openalex.org/W2220487585","https://openalex.org/W2963127673","https://openalex.org/W2592830242","https://openalex.org/W2992466427","https://openalex.org/W2951460577","https://openalex.org/W11846350","https://openalex.org/W2952861622","https://openalex.org/W3104705077","https://openalex.org/W3026770063","https://openalex.org/W3104192633","https://openalex.org/W2951019947"],"abstract_inverted_index":{"MOTIVATION:":[0],"Full-order":[1],"partial":[2,96,116],"correlation,":[3,98,117],"a":[4,84,104],"fundamental":[5],"approach":[6],"for":[7,49],"network":[8,68,85],"reconstruction,":[9],"e.g.":[10],"in":[11],"the":[12,19,25,71,112,128],"context":[13],"of":[14,24,31,51,73,106,114,164],"gene":[15],"regulation,":[16],"relies":[17],"on":[18,67,101,111,162],"precision":[20,38],"matrix":[21,39],"(the":[22],"inverse":[23],"covariance":[26],"matrix)":[27],"as":[28],"an":[29],"indicator":[30],"which":[32,118],"variables":[33,52],"are":[34,47,54,181],"directly":[35],"associated.":[36],"The":[37,154],"assumes":[40],"Gaussian":[41],"linear":[42,91,138],"data":[43,180],"and":[44,92,110,139,142],"its":[45],"entries":[46],"zero":[48],"pairs":[50],"that":[53,127],"independent":[55],"given":[56],"all":[57],"other":[58],"variables.":[59,77],"However,":[60],"there":[61],"is":[62,152,156,173],"still":[63],"very":[64],"little":[65],"theory":[66],"reconstruction":[69,86],"under":[70],"assumption":[72],"non-linear":[74,93,108,140],"interactions":[75],"among":[76],"RESULTS:":[78],"We":[79,124],"propose":[80],"Distance":[81,129],"Precision":[82,130],"Matrix,":[83],"method":[87,132,155],"aimed":[88],"at":[89,175,183],"both":[90],"data.":[94],"Like":[95],"distance":[97,102],"it":[99],"builds":[100],"covariance,":[103],"measure":[105],"possibly":[107],"association,":[109],"idea":[113],"full-order":[115],"allows":[119],"to":[120,159],"discard":[121],"indirect":[122],"associations.":[123],"provide":[125],"evidence":[126],"Matrix":[131],"can":[133],"successfully":[134],"compute":[135,160],"networks":[136,161],"from":[137],"data,":[141],"consistently":[143],"so":[144],"across":[145],"different":[146],"datasets,":[147],"even":[148],"if":[149],"sample":[150],"size":[151],"low.":[153],"fast":[157],"enough":[158],"hundreds":[163],"nodes.":[165],"AVAILABILITY":[166],"AND":[167],"IMPLEMENTATION:":[168],"An":[169],"R":[170],"package":[171],"DPM":[172],"available":[174,182],"https://github.molgen.mpg.de/ghanbari/DPM.":[176],"SUPPLEMENTARY":[177],"INFORMATION:":[178],"Supplementary":[179],"Bioinformatics":[184],"online.":[185]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-08-26T07:47:46.906454","created_date":"2025-10-10T00:00:00"}