{"id":"https://openalex.org/W2058590227","doi":"https://doi.org/10.1109/iembs.2011.6091588","title":"Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures","display_name":"Supervised regularized canonical correlation analysis: Integrating histologic and proteomic data for predicting biochemical failures","publication_year":2011,"publication_date":"2011-08-01","ids":{"openalex":"https://openalex.org/W2058590227","doi":"https://doi.org/10.1109/iembs.2011.6091588","mag":"2058590227","pmid":"https://pubmed.ncbi.nlm.nih.gov/22255811"},"language":"en","primary_location":{"id":"doi:10.1109/iembs.2011.6091588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iembs.2011.6091588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref","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/A5090622422","display_name":"Abhishek Golugula","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Golugula","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Rutgers University, Piscataway, New Jersey 08854, USA","Dept. of Electrical and Computer Engineering, Rutgers University, Piscataway, New Jersey 08854"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Rutgers University, Piscataway, New Jersey 08854, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Dept. of Electrical and Computer Engineering, Rutgers University, Piscataway, New Jersey 08854","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077144401","display_name":"G. Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G. Lee","raw_affiliation_strings":["Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA","Department of Biomedical Engineering Rutgers University, Piscataway, New Jersey 08854"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Department of Biomedical Engineering Rutgers University, Piscataway, New Jersey 08854","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081184811","display_name":"Stephen R. Master","orcid":"https://orcid.org/0000-0002-6808-631X"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. R. Master","raw_affiliation_strings":["Department of Pathology, University of Pennsylvania, Philadelphia, PA, USA","Department of Pathology, University of Pennsylvania, Philadelphia, Pennsylvania 19104"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"Department of Pathology, University of Pennsylvania, Philadelphia, Pennsylvania 19104","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028140714","display_name":"Michael D. Feldman","orcid":"https://orcid.org/0000-0002-6661-4940"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. D. Feldman","raw_affiliation_strings":["Department of Pathology, University of Pennsylvania, Philadelphia, PA, USA","Department of Pathology, University of Pennsylvania, Philadelphia, Pennsylvania 19104"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"Department of Pathology, University of Pennsylvania, Philadelphia, Pennsylvania 19104","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110878327","display_name":"J E Tomaszewski","orcid":"https://orcid.org/0009-0009-9384-4643"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"J. E. Tomaszewski","raw_affiliation_strings":["Department of Pathology, University of Pennsylvania, Philadelphia, PA, USA","Department of Pathology, University of Pennsylvania, Philadelphia, Pennsylvania 19104"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Pathology, University of Pennsylvania, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"Department of Pathology, University of Pennsylvania, Philadelphia, Pennsylvania 19104","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027642699","display_name":"Anant Madabhushi","orcid":"https://orcid.org/0000-0002-5741-0399"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"A. Madabhushi","raw_affiliation_strings":["Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA","Department of Biomedical Engineering Rutgers University, Piscataway, New Jersey 08854"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA","institution_ids":["https://openalex.org/I102322142"]},{"raw_affiliation_string":"Department of Biomedical Engineering Rutgers University, Piscataway, New Jersey 08854","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.9877,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86337327,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"23","issue":null,"first_page":"6434","last_page":"6437"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9980999827384949,"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":0.9980999827384949,"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":0.9962999820709229,"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":0.9879999756813049,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6362701058387756},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.6336699724197388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6190712451934814},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6093155145645142},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6085565686225891},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5801069736480713},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.527764081954956},{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.5122991800308228},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4779655635356903},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.4520367383956909},{"id":"https://openalex.org/keywords/radiomics","display_name":"Radiomics","score":0.44117191433906555},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.4391267001628876},{"id":"https://openalex.org/keywords/medical-imaging","display_name":"Medical imaging","score":0.43886691331863403},{"id":"https://openalex.org/keywords/random-subspace-method","display_name":"Random subspace method","score":0.4103519320487976},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3376561999320984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23298707604408264},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14634442329406738},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.12912622094154358}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6362701058387756},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.6336699724197388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6190712451934814},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6093155145645142},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6085565686225891},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5801069736480713},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.527764081954956},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.5122991800308228},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4779655635356903},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.4520367383956909},{"id":"https://openalex.org/C2778559731","wikidata":"https://www.wikidata.org/wiki/Q23808793","display_name":"Radiomics","level":2,"score":0.44117191433906555},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.4391267001628876},{"id":"https://openalex.org/C31601959","wikidata":"https://www.wikidata.org/wiki/Q931309","display_name":"Medical imaging","level":2,"score":0.43886691331863403},{"id":"https://openalex.org/C106135958","wikidata":"https://www.wikidata.org/wiki/Q7291993","display_name":"Random subspace method","level":3,"score":0.4103519320487976},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3376561999320984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23298707604408264},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14634442329406738},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.12912622094154358},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"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":"D001671","descriptor_name":"Biochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001671","descriptor_name":"Biochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D001671","descriptor_name":"Biochemistry","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D003952","descriptor_name":"Diagnostic Imaging","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006652","descriptor_name":"Histological Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006652","descriptor_name":"Histological Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D006652","descriptor_name":"Histological Techniques","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000378","qualifier_name":"metabolism","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":false},{"descriptor_ui":"D011471","descriptor_name":"Prostatic Neoplasms","qualifier_ui":"Q000601","qualifier_name":"surgery","is_major_topic":false},{"descriptor_ui":"D012008","descriptor_name":"Recurrence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012008","descriptor_name":"Recurrence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012008","descriptor_name":"Recurrence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014408","descriptor_name":"Biomarkers, Tumor","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016011","descriptor_name":"Normal Distribution","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016896","descriptor_name":"Treatment Outcome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016896","descriptor_name":"Treatment Outcome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016896","descriptor_name":"Treatment Outcome","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":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":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D040901","descriptor_name":"Proteomics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/iembs.2011.6091588","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iembs.2011.6091588","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society","raw_type":"proceedings-article"},{"id":"pmid:22255811","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22255811","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/15","score":0.6600000262260437,"display_name":"Life in Land"}],"awards":[{"id":"https://openalex.org/G1244359671","display_name":null,"funder_award_id":"R03CA143991","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G8124909183","display_name":null,"funder_award_id":"R01CA140772","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G961828503","display_name":null,"funder_award_id":"R01CA136535","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1534062893","https://openalex.org/W1880944740","https://openalex.org/W2050978844","https://openalex.org/W2056952330","https://openalex.org/W2091662955","https://openalex.org/W2100235303","https://openalex.org/W2106554478","https://openalex.org/W2106989337","https://openalex.org/W2145429609","https://openalex.org/W2155834859","https://openalex.org/W3149375329","https://openalex.org/W4291745724","https://openalex.org/W6632283006","https://openalex.org/W6673271186"],"related_works":["https://openalex.org/W2143234973","https://openalex.org/W1603777065","https://openalex.org/W2007593166","https://openalex.org/W2397292208","https://openalex.org/W4221136059","https://openalex.org/W1548677759","https://openalex.org/W2026584557","https://openalex.org/W2123957576","https://openalex.org/W109131529","https://openalex.org/W2595439317"],"abstract_inverted_index":{"Multimodal":[0],"data,":[1,6,60],"especially":[2],"imaging":[3,27,57],"and":[4,28,38,58,122,137,176],"non-imaging":[5,29,59],"is":[7,46,82,120,124],"being":[8],"routinely":[9],"acquired":[10],"in":[11,206],"the":[12,22,56,106,133,174,207,216],"context":[13],"of":[14,43,109,135,157,201],"disease":[15],"diagnostics;":[16],"however":[17],"computational":[18],"challenges":[19],"have":[20],"limited":[21],"ability":[23],"to":[24,47,52,69,165,189,215],"quantitatively":[25],"integrate":[26],"data":[30,110,218],"channels":[31],"with":[32,181,197,222],"different":[33],"dimensionalities":[34],"for":[35,141,148,194],"making":[36],"diagnostic":[37],"prognostic":[39],"predictions.":[40],"The":[41,203],"objective":[42],"this":[44,90,129],"work":[45],"create":[48],"a":[49,62,71,79,85,94,115,155,167,183,198],"common":[50],"subspace":[51],"simultaneously":[53],"accommodate":[54],"both":[55,173],"called":[61],"metaspace.":[63],"This":[64],"metaspace":[65,171],"can":[66],"be":[67],"used":[68],"build":[70],"meta-classifier":[72],"that":[73,81,103],"produces":[74],"better":[75],"classification":[76],"results":[77],"than":[78],"classifier":[80,186,204],"based":[83],"on":[84],"single":[86],"modality":[87],"alone.":[88],"In":[89,179],"paper,":[91],"we":[92],"present":[93],"novel":[95],"Supervised":[96],"Regularized":[97,228],"Canonical":[98,223],"Correlation":[99,224],"Analysis":[100,225],"(SRCCA)":[101],"algorithm":[102],"(1)":[104],"enables":[105],"quantitative":[107],"integration":[108],"from":[111],"multiple":[112],"modalities":[113],"using":[114],"feature":[116],"selection":[117],"scheme,":[118],"(2)":[119],"regularized,":[121],"(3)":[123],"computationally":[125],"cheap.":[126],"We":[127],"leverage":[128],"SRCCA":[130,162,208],"framework":[131],"towards":[132],"fusion":[134],"proteomic":[136,177],"histologic":[138],"image":[139],"signatures":[140],"identifying":[142],"prostate":[143,159],"cancer":[144,160],"patients":[145,191],"at":[146,192],"risk":[147,193],"biochemical":[149,195],"recurrence":[150],"following":[151],"radical":[152],"prostatectomy.":[153],"For":[154],"cohort":[156],"19":[158],"patients,":[161],"was":[163,187,210],"able":[164,188],"yield":[166],"lower":[168],"fused":[169,217],"dimensional":[170],"comprising":[172],"histological":[175],"attributes.":[178],"conjunction":[180],"SRCCA,":[182],"random":[184],"forest":[185],"identify":[190],"failure":[196],"maximum":[199],"accuracy":[200],"93%.":[202],"performance":[205],"space":[209],"statistically":[211],"significantly":[212],"higher":[213],"compared":[214],"representations":[219],"obtained":[220],"either":[221],"(CCA)":[226],"or":[227],"CCA.":[229]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
