{"id":"https://openalex.org/W3119357010","doi":"https://doi.org/10.1186/s12859-020-03915-6","title":"Modeling drug mechanism of action with large scale gene-expression profiles using GPAR, an artificial intelligence platform","display_name":"Modeling drug mechanism of action with large scale gene-expression profiles using GPAR, an artificial intelligence platform","publication_year":2021,"publication_date":"2021-01-07","ids":{"openalex":"https://openalex.org/W3119357010","doi":"https://doi.org/10.1186/s12859-020-03915-6","mag":"3119357010","pmid":"https://pubmed.ncbi.nlm.nih.gov/33413089"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-020-03915-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-03915-6","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-03915-6","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/track/pdf/10.1186/s12859-020-03915-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006249044","display_name":"Shengqiao Gao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shengqiao Gao","raw_affiliation_strings":["Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114723607","display_name":"Lu Han","orcid":"https://orcid.org/0009-0004-9509-013X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu Han","raw_affiliation_strings":["Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101829260","display_name":"Dan Luo","orcid":"https://orcid.org/0009-0006-1414-5739"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dan Luo","raw_affiliation_strings":["Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063400527","display_name":"Gang Liu","orcid":"https://orcid.org/0000-0002-9651-4473"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gang Liu","raw_affiliation_strings":["Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100603146","display_name":"Zhiyong Xiao","orcid":"https://orcid.org/0000-0003-3187-1629"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhiyong Xiao","raw_affiliation_strings":["Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016094741","display_name":"Guangcun Shan","orcid":"https://orcid.org/0000-0002-7305-1023"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangcun Shan","raw_affiliation_strings":["School of Instrumentation Science and Opto-Electronics Engineering and Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100083, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Instrumentation Science and Opto-Electronics Engineering and Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100083, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025305703","display_name":"Yongxiang Zhang","orcid":"https://orcid.org/0000-0002-9477-7798"},"institutions":[{"id":"https://openalex.org/I4210165424","display_name":"Institute of Pharmacology","ror":"https://ror.org/01ss14a40","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I21250087","https://openalex.org/I4210165424"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Yongxiang Zhang","raw_affiliation_strings":["Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China. zhangyx@bmi.ac.cn","Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China. zhangyx@bmi.ac.cn","institution_ids":["https://openalex.org/I4210165424"]},{"raw_affiliation_string":"Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030223638","display_name":"Wenxia Zhou","orcid":"https://orcid.org/0000-0002-6175-4821"},"institutions":[{"id":"https://openalex.org/I4210165424","display_name":"Institute of Pharmacology","ror":"https://ror.org/01ss14a40","country_code":"CZ","type":"facility","lineage":["https://openalex.org/I21250087","https://openalex.org/I4210165424"]}],"countries":["CZ"],"is_corresponding":true,"raw_author_name":"Wenxia Zhou","raw_affiliation_strings":["Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China. zhouwx@bmi.ac.cn","Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China. zhouwx@bmi.ac.cn","institution_ids":["https://openalex.org/I4210165424"]},{"raw_affiliation_string":"Beijing Institute of Pharmacology and Toxicology, State Key Laboratory of Toxicology and Medical Countermeasures, Beijing, 100850, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5025305703","https://openalex.org/A5030223638"],"corresponding_institution_ids":["https://openalex.org/I4210165424"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":4.7474,"has_fulltext":true,"cited_by_count":43,"citation_normalized_percentile":{"value":0.95472833,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"1","first_page":"17","last_page":"17"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.8403000235557556,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.8403000235557556,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.0544000007212162,"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":0.04259999841451645,"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/computer-science","display_name":"Computer science","score":0.7500302791595459},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6061612963676453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5897662043571472},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5617421865463257},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4946422278881073},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4720498025417328},{"id":"https://openalex.org/keywords/drug-discovery","display_name":"Drug discovery","score":0.4563380777835846},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4462074339389801},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.4228306710720062},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3676595687866211},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.2550804615020752},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.24243587255477905},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.24205949902534485},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.12267133593559265}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7500302791595459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6061612963676453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5897662043571472},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5617421865463257},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4946422278881073},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4720498025417328},{"id":"https://openalex.org/C74187038","wikidata":"https://www.wikidata.org/wiki/Q1418791","display_name":"Drug discovery","level":2,"score":0.4563380777835846},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4462074339389801},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.4228306710720062},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3676595687866211},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.2550804615020752},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.24243587255477905},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.24205949902534485},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.12267133593559265},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004364","descriptor_name":"Pharmaceutical Preparations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004364","descriptor_name":"Pharmaceutical Preparations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004364","descriptor_name":"Pharmaceutical Preparations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010600","descriptor_name":"Pharmacology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010600","descriptor_name":"Pharmacology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010600","descriptor_name":"Pharmacology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","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":false},{"descriptor_ui":"D030541","descriptor_name":"Databases, Genetic","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":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false},{"descriptor_ui":"D059467","descriptor_name":"Transcriptome","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":false}],"locations_count":5,"locations":[{"id":"doi:10.1186/s12859-020-03915-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-03915-6","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-03915-6","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:33413089","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/33413089","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:4cf67cb2299549b79edbca0b2bf119f0","is_oa":true,"landing_page_url":"https://doaj.org/article/4cf67cb2299549b79edbca0b2bf119f0","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 22, Iss 1, Pp 1-13 (2021)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:6700067","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC7788535","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7788535","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7788535","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"}],"best_oa_location":{"id":"doi:10.1186/s12859-020-03915-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-020-03915-6","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-020-03915-6","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/G6748177227","display_name":null,"funder_award_id":"81803431","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320309893","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3119357010.pdf","grobid_xml":"https://content.openalex.org/works/W3119357010.grobid-xml"},"referenced_works_count":40,"referenced_works":["https://openalex.org/W1585135972","https://openalex.org/W1968352602","https://openalex.org/W1997401961","https://openalex.org/W2021456045","https://openalex.org/W2023947478","https://openalex.org/W2043638817","https://openalex.org/W2044337871","https://openalex.org/W2094791588","https://openalex.org/W2121604817","https://openalex.org/W2127691629","https://openalex.org/W2130410032","https://openalex.org/W2163086529","https://openalex.org/W2168764383","https://openalex.org/W2169353806","https://openalex.org/W2187089797","https://openalex.org/W2264017649","https://openalex.org/W2323328911","https://openalex.org/W2341986069","https://openalex.org/W2397757171","https://openalex.org/W2489003193","https://openalex.org/W2595454228","https://openalex.org/W2604527271","https://openalex.org/W2612467560","https://openalex.org/W2614102532","https://openalex.org/W2741321350","https://openalex.org/W2764313234","https://openalex.org/W2791340464","https://openalex.org/W2837999301","https://openalex.org/W2891838559","https://openalex.org/W2896002881","https://openalex.org/W2919115771","https://openalex.org/W2950286149","https://openalex.org/W2950511172","https://openalex.org/W2952794296","https://openalex.org/W2963248801","https://openalex.org/W2975712044","https://openalex.org/W3005212621","https://openalex.org/W3032373213","https://openalex.org/W3039462624","https://openalex.org/W4236619680"],"related_works":["https://openalex.org/W2382997850","https://openalex.org/W4375867731","https://openalex.org/W2390968135","https://openalex.org/W2382213751","https://openalex.org/W2351750670","https://openalex.org/W1597848696","https://openalex.org/W2354715126","https://openalex.org/W2388563748","https://openalex.org/W2375179084","https://openalex.org/W2366646518"],"abstract_inverted_index":{"BACKGROUND:":[0],"Querying":[1],"drug-induced":[2],"gene":[3,33],"expression":[4,34],"profiles":[5],"with":[6,58],"machine":[7],"learning":[8,61],"method":[9],"is":[10,22,48],"an":[11],"effective":[12],"way":[13],"for":[14,51],"revealing":[15],"drug":[16],"mechanism":[17],"of":[18,28,41],"actions":[19],"(MOAs),":[20],"which":[21,139],"strongly":[23],"supported":[24],"by":[25],"the":[26,39,107],"growth":[27],"large":[29],"scale":[30],"and":[31,43,53,82,110],"high-throughput":[32],"databases.":[35],"However,":[36],"due":[37],"to":[38,55,79,94,99,105,111,143],"lack":[40],"code-free":[42],"user":[44],"friendly":[45],"applications,":[46],"it":[47],"not":[49],"easy":[50],"biologists":[52],"pharmacologists":[54],"model":[56,108],"MOAs":[57,84,137],"state-of-art":[59],"deep":[60,87],"approach.":[62],"RESULTS:":[63],"In":[64],"this":[65],"work,":[66],"a":[67,133],"newly":[68],"developed":[69],"online":[70],"collaborative":[71],"tool,":[72],"Genetic":[73],"profile-activity":[74],"relationship":[75],"(GPAR)":[76],"was":[77],"built":[78],"help":[80],"modeling":[81],"predicting":[83,126],"easily":[85],"via":[86],"learning.":[88],"The":[89],"users":[90],"can":[91,130],"use":[92],"GPAR":[93,119,129],"customize":[95],"their":[96],"training":[97],"sets":[98],"train":[100],"self-defined":[101],"MOA":[102,147],"prediction":[103],"models,":[104],"evaluate":[106],"performances":[109],"make":[112],"further":[113],"predictions":[114],"automatically.":[115],"Cross-validation":[116],"tests":[117],"show":[118],"outperforms":[120],"Gene":[121],"set":[122],"enrichment":[123],"analysis":[124],"in":[125,136],"MOAs.":[127],"CONCLUSION:":[128],"serve":[131],"as":[132],"better":[134],"approach":[135],"prediction,":[138],"may":[140],"facilitate":[141],"researchers":[142],"generate":[144],"more":[145],"reliable":[146],"hypothesis.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":12},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}
