{"id":"https://openalex.org/W4396954011","doi":"https://doi.org/10.1093/bib/bbae227","title":"Optimal fusion of genotype and drug embeddings in predicting cancer drug response","display_name":"Optimal fusion of genotype and drug embeddings in predicting cancer drug response","publication_year":2024,"publication_date":"2024-03-27","ids":{"openalex":"https://openalex.org/W4396954011","doi":"https://doi.org/10.1093/bib/bbae227","pmid":"https://pubmed.ncbi.nlm.nih.gov/38754407"},"language":"en","primary_location":{"id":"doi:10.1093/bib/bbae227","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbae227","pdf_url":"https://academic.oup.com/bib/article-pdf/25/3/bbae227/57701926/bbae227.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"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":"Briefings in Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://academic.oup.com/bib/article-pdf/25/3/bbae227/57701926/bbae227.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091660714","display_name":"Trang Nguyen","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Trang Nguyen","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts Amherst , Amherst 01002, MA , United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts Amherst , Amherst 01002, MA , United States","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070107390","display_name":"Anthony Campbell","orcid":"https://orcid.org/0000-0001-8379-9513"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony Campbell","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts Amherst , Amherst 01002, MA , United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts Amherst , Amherst 01002, MA , United States","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100462947","display_name":"Ankit Kumar","orcid":"https://orcid.org/0000-0003-1267-5331"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ankit Kumar","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Massachusetts Amherst , Amherst 01002, MA , United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Massachusetts Amherst , Amherst 01002, MA , United States","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5098661908","display_name":"Edwin Amponsah","orcid":null},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Edwin Amponsah","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Massachusetts Amherst , Amherst 01002, MA , United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Massachusetts Amherst , Amherst 01002, MA , United States","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063364372","display_name":"Madalina Fiterau","orcid":"https://orcid.org/0000-0003-4179-7274"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Madalina Fiterau","raw_affiliation_strings":["Department of Computer Science, University of Massachusetts Amherst , Amherst 01002, MA , United States"],"raw_orcid":"https://orcid.org/0000-0003-4179-7274","affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Massachusetts Amherst , Amherst 01002, MA , United States","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068687664","display_name":"Leili Shahriyari","orcid":"https://orcid.org/0000-0001-6234-8449"},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Leili Shahriyari","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Massachusetts Amherst , Amherst 01002, MA , United States"],"raw_orcid":"https://orcid.org/0000-0001-6234-8449","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Massachusetts Amherst , Amherst 01002, MA , United States","institution_ids":["https://openalex.org/I24603500"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5068687664"],"corresponding_institution_ids":["https://openalex.org/I24603500"],"apc_list":{"value":4011,"currency":"USD","value_usd":4011},"apc_paid":{"value":4011,"currency":"USD","value_usd":4011},"fwci":0.6662,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.6545838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"25","issue":"3","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9990000128746033,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9990000128746033,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9987999796867371,"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/T10885","display_name":"Gene expression and cancer classification","score":0.998199999332428,"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/concatenation","display_name":"Concatenation (mathematics)","score":0.6526559591293335},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5943537354469299},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5657503008842468},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.47500360012054443},{"id":"https://openalex.org/keywords/genomics","display_name":"Genomics","score":0.47009655833244324},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.46621567010879517},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.4484791159629822},{"id":"https://openalex.org/keywords/drug","display_name":"Drug","score":0.4385806620121002},{"id":"https://openalex.org/keywords/fusion-gene","display_name":"Fusion gene","score":0.43434134125709534},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41698744893074036},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37068670988082886},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.2522295117378235},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.21352159976959229},{"id":"https://openalex.org/keywords/genome","display_name":"Genome","score":0.2021683156490326},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17868545651435852},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.13099268078804016},{"id":"https://openalex.org/keywords/pharmacology","display_name":"Pharmacology","score":0.07488599419593811}],"concepts":[{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.6526559591293335},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5943537354469299},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5657503008842468},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.47500360012054443},{"id":"https://openalex.org/C189206191","wikidata":"https://www.wikidata.org/wiki/Q222046","display_name":"Genomics","level":4,"score":0.47009655833244324},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.46621567010879517},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.4484791159629822},{"id":"https://openalex.org/C2780035454","wikidata":"https://www.wikidata.org/wiki/Q8386","display_name":"Drug","level":2,"score":0.4385806620121002},{"id":"https://openalex.org/C111829193","wikidata":"https://www.wikidata.org/wiki/Q1108970","display_name":"Fusion gene","level":3,"score":0.43434134125709534},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41698744893074036},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37068670988082886},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.2522295117378235},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.21352159976959229},{"id":"https://openalex.org/C141231307","wikidata":"https://www.wikidata.org/wiki/Q7020","display_name":"Genome","level":3,"score":0.2021683156490326},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17868545651435852},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.13099268078804016},{"id":"https://openalex.org/C98274493","wikidata":"https://www.wikidata.org/wiki/Q128406","display_name":"Pharmacology","level":1,"score":0.07488599419593811},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000494","qualifier_name":"pharmacology","is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000627","qualifier_name":"therapeutic use","is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000627","qualifier_name":"therapeutic use","is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000627","qualifier_name":"therapeutic use","is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000627","qualifier_name":"therapeutic use","is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000627","qualifier_name":"therapeutic use","is_major_topic":true},{"descriptor_ui":"D000970","descriptor_name":"Antineoplastic Agents","qualifier_ui":"Q000627","qualifier_name":"therapeutic use","is_major_topic":true},{"descriptor_ui":"D005838","descriptor_name":"Genotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005838","descriptor_name":"Genotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005838","descriptor_name":"Genotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005838","descriptor_name":"Genotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005838","descriptor_name":"Genotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005838","descriptor_name":"Genotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"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":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000188","qualifier_name":"drug therapy","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000188","qualifier_name":"drug therapy","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000188","qualifier_name":"drug therapy","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000188","qualifier_name":"drug therapy","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000188","qualifier_name":"drug therapy","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000188","qualifier_name":"drug therapy","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D009369","descriptor_name":"Neoplasms","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"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":"D023281","descriptor_name":"Genomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D023281","descriptor_name":"Genomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/bib/bbae227","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbae227","pdf_url":"https://academic.oup.com/bib/article-pdf/25/3/bbae227/57701926/bbae227.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"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":"Briefings in Bioinformatics","raw_type":"journal-article"},{"id":"pmid:38754407","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38754407","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},{"id":"pmh:oai:pubmedcentral.nih.gov:11097979","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11097979","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11097979/pdf/bbae227.pdf","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-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Brief Bioinform","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/bib/bbae227","is_oa":true,"landing_page_url":"https://doi.org/10.1093/bib/bbae227","pdf_url":"https://academic.oup.com/bib/article-pdf/25/3/bbae227/57701926/bbae227.pdf","source":{"id":"https://openalex.org/S91767247","display_name":"Briefings in Bioinformatics","issn_l":"1467-5463","issn":["1467-5463","1477-4054"],"is_oa":true,"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":"Briefings in Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.7200000286102295,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4396954011.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1987370132","https://openalex.org/W1998728654","https://openalex.org/W2069399470","https://openalex.org/W2080309550","https://openalex.org/W2091825929","https://openalex.org/W2101234009","https://openalex.org/W2108068107","https://openalex.org/W2122825543","https://openalex.org/W2175970000","https://openalex.org/W2295598076","https://openalex.org/W2767281692","https://openalex.org/W2901246787","https://openalex.org/W2911964244","https://openalex.org/W2964010806","https://openalex.org/W2993380934","https://openalex.org/W2994821360","https://openalex.org/W2995175648","https://openalex.org/W3012494997","https://openalex.org/W3035604179","https://openalex.org/W3048965072","https://openalex.org/W3094540299","https://openalex.org/W3107514561","https://openalex.org/W3116278528","https://openalex.org/W3139532774","https://openalex.org/W3159412124","https://openalex.org/W3162529261","https://openalex.org/W3164349728","https://openalex.org/W3189729408","https://openalex.org/W3190256747","https://openalex.org/W3192677404","https://openalex.org/W3198655865","https://openalex.org/W3199772305","https://openalex.org/W3209859545","https://openalex.org/W4214831389","https://openalex.org/W4221050837","https://openalex.org/W4226103310","https://openalex.org/W4282973496","https://openalex.org/W4289779309","https://openalex.org/W4296780663","https://openalex.org/W4309009637","https://openalex.org/W4387079109","https://openalex.org/W4404784135","https://openalex.org/W6675354045","https://openalex.org/W6756216553","https://openalex.org/W6769243733","https://openalex.org/W6771465236","https://openalex.org/W6841090659"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W4387678054","https://openalex.org/W3095575180","https://openalex.org/W2389596151","https://openalex.org/W4221148444","https://openalex.org/W4226054107","https://openalex.org/W4306784355","https://openalex.org/W2510951244","https://openalex.org/W2169308097","https://openalex.org/W4246226292"],"abstract_inverted_index":{"Predicting":[0],"cancer":[1,157],"drug":[2,8,52,77,115,151,158],"response":[3],"using":[4,16,128],"both":[5,132],"genomics":[6,17],"and":[7,51,64,76,92,117,135,152],"features":[9,18,53,79,116,124,154],"has":[10,22],"shown":[11],"some":[12],"success":[13],"compared":[14],"to":[15,30,106,146,155],"alone.":[19],"However,":[20],"there":[21],"been":[23],"limited":[24],"research":[25],"done":[26],"on":[27],"how":[28],"best":[29],"combine":[31,147],"or":[32],"fuse":[33],"the":[34,55,81,88,112,142],"two":[35,45],"types":[36],"of":[37,122,150],"features.":[38],"Using":[39],"a":[40],"visible":[41],"neural":[42],"network":[43],"with":[44,60],"deep":[46],"learning":[47],"branches":[48],"for":[49],"genes":[50],"as":[54],"base":[56],"architecture,":[57],"we":[58],"experimented":[59],"different":[61,101,107,118,129],"fusion":[62,65,102,108,144],"functions":[63],"points.":[66],"Our":[67],"experiments":[68],"show":[69,99],"that":[70,100,111],"injecting":[71],"multiplicative":[72],"relationships":[73],"between":[74,114],"gene":[75,123,153],"latent":[78],"into":[80],"original":[82],"concatenation-based":[83],"architecture":[84],"DrugCell":[85],"significantly":[86],"improved":[87],"overall":[89],"predictive":[90,133],"performance":[91,134],"outperformed":[93],"other":[94],"baseline":[95],"models.":[96],"We":[97],"also":[98],"methods":[103],"respond":[104],"differently":[105],"points,":[109],"indicating":[110],"relationship":[113],"hierarchical":[119],"biological":[120],"level":[121],"is":[125,141],"optimally":[126],"captured":[127],"methods.":[130],"Considering":[131],"runtime":[136],"speed,":[137],"tensor":[138],"product":[139],"partial":[140],"best-performing":[143],"function":[145],"late-stage":[148],"representations":[149],"predict":[156],"response.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}