{"id":"https://openalex.org/W4206405364","doi":"https://doi.org/10.1093/bib/bbab562","title":"An enhanced cascade-based deep forest model for drug combination prediction","display_name":"An enhanced cascade-based deep forest model for drug combination prediction","publication_year":2021,"publication_date":"2021-12-09","ids":{"openalex":"https://openalex.org/W4206405364","doi":"https://doi.org/10.1093/bib/bbab562","pmid":"https://pubmed.ncbi.nlm.nih.gov/35062018"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbab562","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbab562","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101518837","display_name":"Weiping Lin","orcid":"https://orcid.org/0009-0000-0938-5486"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Lin","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028718810","display_name":"Lianlian Wu","orcid":"https://orcid.org/0000-0002-9611-4488"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]},{"id":"https://openalex.org/I5740404","display_name":"Tianjin Medical University","ror":"https://ror.org/02mh8wx89","country_code":"CN","type":"education","lineage":["https://openalex.org/I5740404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lianlian Wu","raw_affiliation_strings":["Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-9611-4488","affiliations":[{"raw_affiliation_string":"Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I5740404","https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351204","display_name":"Yixin Zhang","orcid":"https://orcid.org/0000-0002-2861-2995"},"institutions":[{"id":"https://openalex.org/I4210132047","display_name":"Beijing Radiation Center","ror":"https://ror.org/030t7nd77","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210132047"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yixin Zhang","raw_affiliation_strings":["Beijing Institute of Radiation Medicine, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Radiation Medicine, Beijing, China","institution_ids":["https://openalex.org/I4210132047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011387822","display_name":"Yuqi Wen","orcid":"https://orcid.org/0000-0002-2391-3297"},"institutions":[{"id":"https://openalex.org/I4210132047","display_name":"Beijing Radiation Center","ror":"https://ror.org/030t7nd77","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210132047"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqi Wen","raw_affiliation_strings":["Beijing Institute of Radiation Medicine, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Radiation Medicine, Beijing, China","institution_ids":["https://openalex.org/I4210132047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101946682","display_name":"Bowei Yan","orcid":"https://orcid.org/0000-0001-8983-9686"},"institutions":[{"id":"https://openalex.org/I4210132047","display_name":"Beijing Radiation Center","ror":"https://ror.org/030t7nd77","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210132047"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bowei Yan","raw_affiliation_strings":["Beijing Institute of Radiation Medicine, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Radiation Medicine, Beijing, China","institution_ids":["https://openalex.org/I4210132047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102797218","display_name":"Chong Dai","orcid":"https://orcid.org/0000-0003-3423-8351"},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chong Dai","raw_affiliation_strings":["College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, China","institution_ids":["https://openalex.org/I75390827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066879706","display_name":"Kunhong Liu","orcid":"https://orcid.org/0000-0002-1222-8876"},"institutions":[{"id":"https://openalex.org/I191208505","display_name":"Xiamen University","ror":"https://ror.org/00mcjh785","country_code":"CN","type":"education","lineage":["https://openalex.org/I191208505"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kunhong Liu","raw_affiliation_strings":["School of Informatics, Xiamen University, Xiamen, China"],"raw_orcid":"https://orcid.org/0000-0002-1222-8876","affiliations":[{"raw_affiliation_string":"School of Informatics, Xiamen University, Xiamen, China","institution_ids":["https://openalex.org/I191208505"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100680468","display_name":"Song He","orcid":"https://orcid.org/0000-0002-4136-6151"},"institutions":[{"id":"https://openalex.org/I4210132047","display_name":"Beijing Radiation Center","ror":"https://ror.org/030t7nd77","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210132047"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Song He","raw_affiliation_strings":["Beijing Institute of Radiation Medicine, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-4136-6151","affiliations":[{"raw_affiliation_string":"Beijing Institute of Radiation Medicine, Beijing, China","institution_ids":["https://openalex.org/I4210132047"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102983020","display_name":"Xiaochen Bo","orcid":"https://orcid.org/0000-0003-3490-5812"},"institutions":[{"id":"https://openalex.org/I4210132047","display_name":"Beijing Radiation Center","ror":"https://ror.org/030t7nd77","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210132047"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaochen Bo","raw_affiliation_strings":["Beijing Institute of Radiation Medicine, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Institute of Radiation Medicine, Beijing, China","institution_ids":["https://openalex.org/I4210132047"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5066879706","https://openalex.org/A5100680468","https://openalex.org/A5102983020"],"corresponding_institution_ids":["https://openalex.org/I191208505","https://openalex.org/I4210132047"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":null,"fwci":4.4877,"has_fulltext":false,"cited_by_count":44,"citation_normalized_percentile":{"value":0.95202432,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"23","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T10375","display_name":"Pharmacogenetics and Drug Metabolism","score":0.9733999967575073,"subfield":{"id":"https://openalex.org/subfields/3004","display_name":"Pharmacology"},"field":{"id":"https://openalex.org/fields/30","display_name":"Pharmacology, Toxicology and Pharmaceutics"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12576","display_name":"vaccines and immunoinformatics approaches","score":0.949999988079071,"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/cascade","display_name":"Cascade","score":0.7294339537620544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5823323726654053},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4967356324195862},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.44914087653160095},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.1683330535888672},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14577212929725647},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.13236737251281738}],"concepts":[{"id":"https://openalex.org/C34146451","wikidata":"https://www.wikidata.org/wiki/Q5048094","display_name":"Cascade","level":2,"score":0.7294339537620544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5823323726654053},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4967356324195862},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.44914087653160095},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.1683330535888672},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14577212929725647},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.13236737251281738},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"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":"D004338","descriptor_name":"Drug Combinations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004338","descriptor_name":"Drug Combinations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004338","descriptor_name":"Drug Combinations","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","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":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true},{"descriptor_ui":"D019295","descriptor_name":"Computational Biology","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1093/bib/bbab562","is_oa":false,"landing_page_url":"https://doi.org/10.1093/bib/bbab562","pdf_url":null,"source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:35062018","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35062018","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":"Briefings in bioinformatics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5066997732","display_name":null,"funder_award_id":"2019QY1803","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6187246181","display_name":"\u57fa\u4e8e\u8f93\u51fa\u7ea0\u9519\u7f16\u7801\u7684\u5f00\u96c6\u591a\u7c7b\u6570\u636e\u6316\u6398\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61772023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8729286819","display_name":null,"funder_award_id":"62103436","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":98,"referenced_works":["https://openalex.org/W321022283","https://openalex.org/W1524628399","https://openalex.org/W1594031697","https://openalex.org/W1678356000","https://openalex.org/W1696775091","https://openalex.org/W1966851131","https://openalex.org/W1977863938","https://openalex.org/W1978710394","https://openalex.org/W1984621921","https://openalex.org/W1988790447","https://openalex.org/W1994676913","https://openalex.org/W2010601590","https://openalex.org/W2012420916","https://openalex.org/W2026608413","https://openalex.org/W2028979517","https://openalex.org/W2031887211","https://openalex.org/W2034484539","https://openalex.org/W2040904830","https://openalex.org/W2042619042","https://openalex.org/W2052346793","https://openalex.org/W2056132907","https://openalex.org/W2060737851","https://openalex.org/W2061136308","https://openalex.org/W2062289724","https://openalex.org/W2099308584","https://openalex.org/W2101234009","https://openalex.org/W2103562758","https://openalex.org/W2105572154","https://openalex.org/W2114326383","https://openalex.org/W2115147179","https://openalex.org/W2127553917","https://openalex.org/W2131487381","https://openalex.org/W2137173580","https://openalex.org/W2139203226","https://openalex.org/W2145877930","https://openalex.org/W2165796624","https://openalex.org/W2165863045","https://openalex.org/W2167138922","https://openalex.org/W2209382794","https://openalex.org/W2272125237","https://openalex.org/W2295598076","https://openalex.org/W2335854816","https://openalex.org/W2462615746","https://openalex.org/W2518259126","https://openalex.org/W2522919735","https://openalex.org/W2551072359","https://openalex.org/W2571957366","https://openalex.org/W2575228167","https://openalex.org/W2600538715","https://openalex.org/W2612467560","https://openalex.org/W2774112395","https://openalex.org/W2775061087","https://openalex.org/W2792455800","https://openalex.org/W2797303008","https://openalex.org/W2803581864","https://openalex.org/W2901662790","https://openalex.org/W2907066344","https://openalex.org/W2911535432","https://openalex.org/W2911964244","https://openalex.org/W2917986762","https://openalex.org/W2938214930","https://openalex.org/W2948671658","https://openalex.org/W2950182476","https://openalex.org/W2950860419","https://openalex.org/W2951594842","https://openalex.org/W2952921651","https://openalex.org/W2959123242","https://openalex.org/W2960677646","https://openalex.org/W2978329087","https://openalex.org/W2982051641","https://openalex.org/W2987538316","https://openalex.org/W2992010506","https://openalex.org/W2997680655","https://openalex.org/W3001389567","https://openalex.org/W3006725260","https://openalex.org/W3025935822","https://openalex.org/W3033204916","https://openalex.org/W3033813074","https://openalex.org/W3033857234","https://openalex.org/W3082192989","https://openalex.org/W3101756747","https://openalex.org/W3128378288","https://openalex.org/W3164087725","https://openalex.org/W3192398644","https://openalex.org/W3195831412","https://openalex.org/W3196304395","https://openalex.org/W4229965056","https://openalex.org/W4232714830","https://openalex.org/W4285225950","https://openalex.org/W4300576158","https://openalex.org/W6649308128","https://openalex.org/W6659185136","https://openalex.org/W6675354045","https://openalex.org/W6703221619","https://openalex.org/W6750240888","https://openalex.org/W6778884739","https://openalex.org/W6800606671","https://openalex.org/W7075695058"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2153719181","https://openalex.org/W1971748923","https://openalex.org/W1566155057","https://openalex.org/W2060986072","https://openalex.org/W2052574922","https://openalex.org/W64588465","https://openalex.org/W3120641340"],"abstract_inverted_index":{"Combination":[0],"therapy":[1],"has":[2],"shown":[3],"an":[4,107],"obvious":[5],"curative":[6],"effect":[7],"on":[8,160,219],"complex":[9],"diseases,":[10],"whereas":[11],"the":[12,30,33,48,57,76,93,100,119,138,170,183,193,204,220,232,242],"search":[13],"space":[14],"of":[15,32,35,50,96,103,132,163,172,195,207,235,244],"drug":[16,52,69,122,166,239,245],"combinations":[17,53,70,167],"is":[18,84,114,175,178],"too":[19],"large":[20],"to":[21,54,65,91,117],"be":[22],"validated":[23],"experimentally":[24],"even":[25],"with":[26],"high-throughput":[27],"screens.":[28],"With":[29],"increase":[31],"number":[34],"drugs,":[36],"artificial":[37],"intelligence":[38],"techniques,":[39],"especially":[40],"machine":[41,152],"learning":[42,153],"methods,":[43],"have":[44],"become":[45],"applicable":[46],"for":[47],"discovery":[49],"synergistic":[51,68,104],"significantly":[55],"reduce":[56],"experimental":[58,156],"workload.":[59],"In":[60],"this":[61],"study,":[62],"in":[63,71,213,224],"order":[64],"predict":[66],"novel":[67],"various":[72],"cancer":[73],"cell":[74,77],"lines,":[75],"line-specific":[78],"drug-induced":[79],"gene":[80],"expression":[81],"profile":[82],"(GP)":[83,130],"added":[85],"as":[86],"a":[87,161],"new":[88,120],"feature":[89,197,200],"type":[90],"capture":[92],"cellular":[94,205],"response":[95],"drugs":[97,133,208],"and":[98,128,134,148,241],"reveal":[99],"biological":[101,129],"mechanism":[102],"effect.":[105],"Then,":[106],"enhanced":[108],"cascade-based":[109],"deep":[110,144],"forest":[111],"regressor":[112],"(EC-DFR)":[113],"innovatively":[115],"presented":[116],"apply":[118],"small-scale":[121],"combination":[123],"dataset":[124],"involving":[125],"chemical,":[126],"physical":[127],"properties":[131],"cells.":[135],"Verified":[136],"by":[137],"dataset,":[139],"EC-DFR":[140,180],"outperforms":[141],"two":[142],"state-of-the-art":[143],"neural":[145],"network-based":[146],"methods":[147],"several":[149],"advanced":[150],"classical":[151],"algorithms.":[154],"Biological":[155],"validation":[157],"performed":[158],"subsequently":[159],"set":[162],"previously":[164],"untested":[165],"further":[168,226],"confirms":[169],"performance":[171],"EC-DFR.":[173],"What":[174],"more":[176,189],"prominent":[177],"that":[179],"can":[181],"distinguish":[182],"most":[184],"important":[185],"features,":[186],"making":[187],"it":[188],"interpretable.":[190],"By":[191],"evaluating":[192],"contribution":[194],"each":[196],"type,":[198],"GP":[199,225],"contributes":[201],"82.40%,":[202],"showing":[203],"responses":[206],"may":[209],"play":[210],"crucial":[211],"roles":[212],"synergism":[214,243],"prediction.":[215],"The":[216],"analysis":[217],"based":[218],"top":[221],"contributing":[222],"genes":[223,237],"demonstrates":[227],"some":[228],"potential":[229],"relationships":[230],"between":[231],"transcriptomic":[233],"levels":[234],"key":[236],"under":[238],"regulation":[240],"combinations.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":5}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
