{"id":"https://openalex.org/W4311669723","doi":"https://doi.org/10.1186/s12859-022-05080-4","title":"Drug response prediction using graph representation learning and Laplacian feature selection","display_name":"Drug response prediction using graph representation learning and Laplacian feature selection","publication_year":2022,"publication_date":"2022-12-09","ids":{"openalex":"https://openalex.org/W4311669723","doi":"https://doi.org/10.1186/s12859-022-05080-4","pmid":"https://pubmed.ncbi.nlm.nih.gov/36494630"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-022-05080-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-022-05080-4","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-022-05080-4","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-022-05080-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101644878","display_name":"Minzhu Xie","orcid":"https://orcid.org/0000-0002-8962-093X"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Minzhu Xie","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, China. xieminzhu@hunnu.edu.cn","Key Laboratory of Computing and Stochastic Mathematics (LCSM) (Ministry of Education), School of Mathematics and Statistics, Hunan Normal University, Changsha, China. xieminzhu@hunnu.edu.cn","College of Information Science and Engineering, Hunan Normal University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-8962-093X","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, China. xieminzhu@hunnu.edu.cn","institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"]},{"raw_affiliation_string":"Key Laboratory of Computing and Stochastic Mathematics (LCSM) (Ministry of Education), School of Mathematics and Statistics, Hunan Normal University, Changsha, China. xieminzhu@hunnu.edu.cn","institution_ids":["https://openalex.org/I173759888"]},{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105784380","display_name":"Xiaowen Lei","orcid":null},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaowen Lei","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071351052","display_name":"Jianchen Zhong","orcid":null},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianchen Zhong","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061231733","display_name":"Jianxing Ouyang","orcid":"https://orcid.org/0000-0001-7279-2439"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxing Ouyang","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102357644","display_name":"Guijing Li","orcid":null},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guijing Li","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101644878"],"corresponding_institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":0.3977,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.6332854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"23","issue":"S8","first_page":"532","last_page":"532"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.3434999883174896,"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":0.3434999883174896,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.3131999969482422,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.052299998700618744,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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":0.5559614896774292},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5537607669830322},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.5342017412185669},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5298224091529846},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.504449725151062},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.47595879435539246},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4574122130870819},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4559193253517151},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4250749349594116},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3246254324913025},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.27308493852615356}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5559614896774292},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5537607669830322},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.5342017412185669},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5298224091529846},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.504449725151062},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.47595879435539246},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4574122130870819},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4559193253517151},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4250749349594116},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3246254324913025},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.27308493852615356},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"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":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D035683","descriptor_name":"MicroRNAs","qualifier_ui":"Q000235","qualifier_name":"genetics","is_major_topic":true},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-022-05080-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-022-05080-4","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-022-05080-4","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:36494630","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36494630","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:pubmedcentral.nih.gov:9733001","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/9733001","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:120eeed9390a42029892721e7c677d0b","is_oa":true,"landing_page_url":"https://doaj.org/article/120eeed9390a42029892721e7c677d0b","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 23, Iss S8, Pp 1-13 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-022-05080-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-022-05080-4","pdf_url":"https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-022-05080-4","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/G1073688109","display_name":null,"funder_award_id":"62172028, 61772197","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1259387294","display_name":null,"funder_award_id":"62172028","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8213310979","display_name":"\u591a\u500d\u4f53\u5355\u4f53\u578b\u4ece\u5934\u7ec4\u88c5\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61772197","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":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4311669723.pdf","grobid_xml":"https://content.openalex.org/works/W4311669723.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1872239493","https://openalex.org/W2004638738","https://openalex.org/W2018663224","https://openalex.org/W2038853826","https://openalex.org/W2043398720","https://openalex.org/W2063846998","https://openalex.org/W2072185125","https://openalex.org/W2090891622","https://openalex.org/W2108068107","https://openalex.org/W2108933868","https://openalex.org/W2117513900","https://openalex.org/W2153635508","https://openalex.org/W2259538443","https://openalex.org/W2331260641","https://openalex.org/W2333198304","https://openalex.org/W2461427403","https://openalex.org/W2473876819","https://openalex.org/W2522738587","https://openalex.org/W2569335714","https://openalex.org/W2765950793","https://openalex.org/W2805406480","https://openalex.org/W2891837572","https://openalex.org/W2893531376","https://openalex.org/W2895134839","https://openalex.org/W2924208027","https://openalex.org/W2946834067","https://openalex.org/W2948897453","https://openalex.org/W2954286747","https://openalex.org/W3036473471","https://openalex.org/W3041880399","https://openalex.org/W3133594175","https://openalex.org/W4240240886"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W4386564352","https://openalex.org/W2952668426","https://openalex.org/W2905271011","https://openalex.org/W3164948662","https://openalex.org/W4289536128","https://openalex.org/W3153597579","https://openalex.org/W1872833176","https://openalex.org/W4285218279"],"abstract_inverted_index":{"BACKGROUND:":[0],"Knowing":[1],"the":[2,17,135,149,175,179,195,199,202,206,211,215,219,233,245,251,258],"responses":[3,38,172],"of":[4,40,46,93,178,201,222,235,238,260],"a":[5,44,67,87],"patient":[6],"to":[7,11,35,78,128,134,169,194,257,276],"drugs":[8],"is":[9,39,57,191,255],"essential":[10],"make":[12],"personalized":[13],"medicine":[14],"practical.":[15],"Since":[16],"current":[18],"clinical":[19],"drug":[20,32,37,48,100,171,264],"response":[21,49],"experiments":[22],"are":[23,126],"time-consuming":[24],"and":[25,31,109,122,148,218,243,250],"expensive,":[26],"utilizing":[27],"human":[28],"genomic":[29],"information":[30,239],"molecular":[33],"characteristics":[34,209],"predict":[36,79,170],"urgent":[41],"importance.":[42],"Although":[43],"variety":[45],"computational":[47],"prediction":[50],"methods":[51,197],"have":[52],"been":[53],"proposed,":[54],"their":[55],"effectiveness":[56],"still":[58],"not":[59],"satisfying.":[60],"RESULTS:":[61],"In":[62],"this":[63],"study,":[64],"we":[65],"propose":[66],"method":[68,142,153],"called":[69],"LGRDRP":[70,85,164,190],"(Learning":[71],"Graph":[72],"Representation":[73],"for":[74,115],"Drug":[75],"Response":[76],"Prediction)":[77],"cell":[80,95,106,111,117,136,181,226,241],"line-drug":[81,112,182],"responses.":[82,113,183,265],"At":[83],"first,":[84],"constructs":[86],"heterogeneous":[88],"network":[89,130,144],"integrating":[90],"multiple":[91,236],"kinds":[92],"information:":[94],"line":[96],"miRNA":[97],"expression":[98],"profiles,":[99],"chemical":[101],"structure":[102,146],"similarity,":[103],"gene-gene":[104],"interaction,":[105],"line-gene":[107],"interaction":[108],"known":[110,180],"Then,":[114],"each":[116],"line,":[118],"learning":[119,139,246],"graph":[120,140,247],"representation":[121,141,248],"Laplacian":[123,150,252],"feature":[124,151,253],"selection":[125,152,254],"combined":[127],"obtain":[129],"topology":[131,145],"features":[132,177],"related":[133],"line.":[137],"The":[138],"learns":[143],"features,":[147],"further":[154],"selects":[155],"out":[156],"some":[157],"most":[158],"important":[159],"ones":[160],"from":[161],"them.":[162],"Finally,":[163],"trains":[165],"an":[166,270],"SVM":[167],"model":[168],"based":[173],"on":[174],"selected":[176],"Our":[184,229],"five-fold":[185],"cross-validation":[186],"results":[187,230],"show":[188],"that":[189,232,268],"significantly":[192],"superior":[193],"art-of-the-state":[196],"in":[198,262],"measures":[200],"average":[203,212],"area":[204,213],"under":[205,214],"receiver":[207],"operating":[208],"curve,":[210],"precision-recall":[216],"curve":[217],"recall":[220],"rate":[221],"top-k":[223],"predicted":[224],"sensitive":[225],"lines.":[227],"CONCLUSIONS:":[228],"demonstrated":[231],"usage":[234],"types":[237],"about":[240],"lines":[242],"drugs,":[244],"method,":[249],"useful":[256],"improvement":[259],"performance":[261],"predicting":[263],"We":[266],"believe":[267],"such":[269,279],"approach":[271],"would":[272],"be":[273],"easily":[274],"extended":[275],"similar":[277],"problems":[278],"as":[280],"miRNA-disease":[281],"relationship":[282],"inference.":[283]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
