{"id":"https://openalex.org/W2084327978","doi":"https://doi.org/10.1109/bibm.2014.6999185","title":"Pathogen host interaction prediction via matrix factorization","display_name":"Pathogen host interaction prediction via matrix factorization","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2084327978","doi":"https://doi.org/10.1109/bibm.2014.6999185","mag":"2084327978"},"language":"en","primary_location":{"id":"doi:10.1109/bibm.2014.6999185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5008902922","display_name":"Benjamin Yee Shing Li","orcid":"https://orcid.org/0000-0002-6243-8724"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Benjamin Yee Shing Li","raw_affiliation_strings":["City University of Hong Kong, Kowloon, HK","Department of Electronic Engineering,#N#City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"City University of Hong Kong, Kowloon, HK","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Electronic Engineering,#N#City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018500010","display_name":"L.F. Yeung","orcid":"https://orcid.org/0000-0001-6462-7855"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Lam Fat Yeung","raw_affiliation_strings":["Department of Electronic Engineering, City University of Hong Kong","Department of Electronic Engineering,#N#City University of Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Electronic Engineering, City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Electronic Engineering,#N#City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001818611","display_name":"Genke Yang","orcid":"https://orcid.org/0000-0003-3492-0211"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Genke Yang","raw_affiliation_strings":["Department of Automation, Shanghai Jiaotong University","Department of Automation, Shanghai Jiaotong Univ"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Shanghai Jiaotong University","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Department of Automation, Shanghai Jiaotong Univ","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008902922"],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.2338674,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.58427624,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"357","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9886000156402588,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/matrix-decomposition","display_name":"Matrix decomposition","score":0.7858073711395264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6552952527999878},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.6153565049171448},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.5895880460739136},{"id":"https://openalex.org/keywords/factorization","display_name":"Factorization","score":0.5520032048225403},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.48445844650268555},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47749847173690796},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4741061329841614},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4521990418434143},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.41206175088882446},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3945806920528412},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3784290552139282},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32735639810562134},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.25908100605010986},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2548877000808716},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.22351211309432983}],"concepts":[{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.7858073711395264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6552952527999878},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.6153565049171448},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.5895880460739136},{"id":"https://openalex.org/C187834632","wikidata":"https://www.wikidata.org/wiki/Q188804","display_name":"Factorization","level":2,"score":0.5520032048225403},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.48445844650268555},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47749847173690796},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4741061329841614},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4521990418434143},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.41206175088882446},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3945806920528412},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3784290552139282},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32735639810562134},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.25908100605010986},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2548877000808716},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.22351211309432983},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm.2014.6999185","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999185","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1965202162","https://openalex.org/W1966553486","https://openalex.org/W1976618413","https://openalex.org/W1976670588","https://openalex.org/W1980147176","https://openalex.org/W1999380327","https://openalex.org/W2009405916","https://openalex.org/W2009656245","https://openalex.org/W2051156467","https://openalex.org/W2077398039","https://openalex.org/W2078980460","https://openalex.org/W2079835141","https://openalex.org/W2085040216","https://openalex.org/W2087064593","https://openalex.org/W2088422296","https://openalex.org/W2101409192","https://openalex.org/W2101730352","https://openalex.org/W2102545006","https://openalex.org/W2105476170","https://openalex.org/W2124249167","https://openalex.org/W2133138357","https://openalex.org/W2135598826","https://openalex.org/W2137245235","https://openalex.org/W2139119391","https://openalex.org/W2141876630","https://openalex.org/W2145427519","https://openalex.org/W2159126118","https://openalex.org/W2160103276","https://openalex.org/W6680451568"],"related_works":["https://openalex.org/W4390394189","https://openalex.org/W2037504162","https://openalex.org/W2539013788","https://openalex.org/W2792706544","https://openalex.org/W3109911900","https://openalex.org/W1568451138","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2972997031","https://openalex.org/W34555840"],"abstract_inverted_index":{"One":[0],"of":[1,7,26,41,46,82,90,99,111,114,127,150,187],"the":[2,5,18,24,29,60,80,97,100,103,109,137,158,164,170,176,184],"goals":[3],"in":[4,64,86,133],"study":[6],"infectious":[8],"disease":[9],"is":[10,57,77,93,105,131],"to":[11,52,59,108,163],"construct":[12],"a":[13,32,69,148,190],"reliable":[14],"predictive":[15],"model":[16,27,168,182],"on":[17,23,79,96],"pathogen-host":[19,83],"interactome.":[20],"Conventional":[21],"methods":[22],"construction":[25],"consider":[28],"problem":[30,63],"as":[31,50,147,161],"binary":[33,53],"classification":[34],"problem.":[35],"However,":[36,85],"most":[37],"databases":[38],"only":[39],"consist":[40],"detected":[42],"interactions":[43],"and":[44,169,189],"lack":[45,110],"negative":[47],"results.":[48],"Thus,":[49],"compare":[51,162],"classification,":[54],"this":[55,67,123,134],"situation":[56],"closer":[58],"collaborative":[61,72],"filtering":[62,73],"nature.":[65],"In":[66,136],"paper,":[68],"commonly":[70],"used":[71],"technique,":[74],"matrix":[75,87,129,166,173,180],"factorization":[76,130,167,174,181],"applied":[78],"prediction":[81,192],"interaction.":[84],"factorization,":[88],"estimation":[89,113],"latent":[91,116],"variables":[92],"highly":[94],"dependent":[95],"completeness":[98],"dataset.":[101],"If":[102],"dataset":[104],"incomplete,":[106],"due":[107],"information,":[112],"some":[115],"vectors":[117],"may":[118],"be":[119],"infeasible.":[120],"To":[121],"relieve":[122],"issue,":[124],"an":[125],"extension":[126],"probabilistic":[128,171,179],"proposed":[132],"paper.":[135],"extended":[138],"model,":[139,175],"similarities":[140],"between":[141],"objects":[142],"are":[143],"taken":[144],"into":[145],"account":[146],"basis":[149],"estimation.":[151],"Experiment":[152],"results":[153],"have":[154],"shown":[155],"that":[156],"when":[157],"sparsity":[159],"increases,":[160],"conventional":[165],"based":[172,178],"similarity":[177],"has":[183],"best":[185],"goodness":[186],"fit":[188],"high":[191],"accuracy.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
