{"id":"https://openalex.org/W2069831329","doi":"https://doi.org/10.1109/gensips.2012.6507748","title":"Network-based methods to identify highly discriminating subsets of biomarkers","display_name":"Network-based methods to identify highly discriminating subsets of biomarkers","publication_year":2012,"publication_date":"2012-12-01","ids":{"openalex":"https://openalex.org/W2069831329","doi":"https://doi.org/10.1109/gensips.2012.6507748","mag":"2069831329"},"language":"en","primary_location":{"id":"doi:10.1109/gensips.2012.6507748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gensips.2012.6507748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)","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/A5006945886","display_name":"Seyed Javad Sajjadi","orcid":null},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Seyed Javad Sajjadi","raw_affiliation_strings":["Department of Industrial and Management Systems Engineering, University of South Florida, Tampa, FL, USA","Dept. of Industrial and Management Systems Engineering"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Management Systems Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]},{"raw_affiliation_string":"Dept. of Industrial and Management Systems Engineering","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073946580","display_name":"Xiaoning Qian","orcid":"https://orcid.org/0000-0002-4347-2476"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoning Qian","raw_affiliation_strings":["Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA","Dept. of Computer Science & Engineering, University of South Florida, Tampa, FL 33620"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]},{"raw_affiliation_string":"Dept. of Computer Science & Engineering, University of South Florida, Tampa, FL 33620","institution_ids":["https://openalex.org/I2613432"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002784812","display_name":"Bo Zeng","orcid":"https://orcid.org/0000-0001-7718-5806"},"institutions":[{"id":"https://openalex.org/I2613432","display_name":"University of South Florida","ror":"https://ror.org/032db5x82","country_code":"US","type":"education","lineage":["https://openalex.org/I2613432"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Bo Zeng","raw_affiliation_strings":["Department of Industrial and Management Systems Engineering, University of South Florida, Tampa, FL, USA","Dept. of Industrial and Management Systems Engineering"],"affiliations":[{"raw_affiliation_string":"Department of Industrial and Management Systems Engineering, University of South Florida, Tampa, FL, USA","institution_ids":["https://openalex.org/I2613432"]},{"raw_affiliation_string":"Dept. of Industrial and Management Systems Engineering","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5006945886"],"corresponding_institution_ids":["https://openalex.org/I2613432"],"apc_list":null,"apc_paid":null,"fwci":0.2027,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62059274,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"8","issue":null,"first_page":"139","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11171","display_name":"Diabetes and associated disorders","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T11171","display_name":"Diabetes and associated disorders","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/T10560","display_name":"Diabetes Management and Research","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9878000020980835,"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/pairwise-comparison","display_name":"Pairwise comparison","score":0.8160189390182495},{"id":"https://openalex.org/keywords/clique","display_name":"Clique","score":0.6565524935722351},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6203790903091431},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.5373623967170715},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4482828676700592},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.43148571252822876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3938031792640686},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36463749408721924},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32055747509002686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23196318745613098}],"concepts":[{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.8160189390182495},{"id":"https://openalex.org/C2777035058","wikidata":"https://www.wikidata.org/wiki/Q1662634","display_name":"Clique","level":2,"score":0.6565524935722351},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6203790903091431},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.5373623967170715},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4482828676700592},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.43148571252822876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3938031792640686},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36463749408721924},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32055747509002686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23196318745613098},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gensips.2012.6507748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gensips.2012.6507748","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7799999713897705,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W165772547","https://openalex.org/W614574849","https://openalex.org/W1970355999","https://openalex.org/W1974418688","https://openalex.org/W1986262724","https://openalex.org/W2011433684","https://openalex.org/W2028197440","https://openalex.org/W2083993550","https://openalex.org/W2087684630","https://openalex.org/W2088169690","https://openalex.org/W2119387367","https://openalex.org/W2124712956","https://openalex.org/W2135046866","https://openalex.org/W2137317896","https://openalex.org/W3021663328"],"related_works":["https://openalex.org/W2487162673","https://openalex.org/W2793211469","https://openalex.org/W2949152769","https://openalex.org/W4372354731","https://openalex.org/W2807634898","https://openalex.org/W1692008701","https://openalex.org/W2942366970","https://openalex.org/W2597588799","https://openalex.org/W4360593462","https://openalex.org/W2411838016"],"abstract_inverted_index":{"To":[0],"identify":[1,109],"highly":[2],"discriminating":[3,33],"biomarkers":[4,111],"for":[5,19,62,74,112],"better":[6],"disease":[7],"prognosis":[8],"and":[9,26,35,83],"diagnosis,":[10],"we":[11,50,101],"present":[12],"two":[13],"new":[14],"network-based":[15],"methods":[16,107],"that":[17,29,104],"search":[18],"the":[20,23,53,87,94,105],"cliques":[21],"with":[22],"maximum":[24],"node":[25],"edge":[27],"weights":[28],"integrate":[30],"both":[31],"individual":[32],"power":[34],"pairwise":[36],"synergistic":[37],"interactions.":[38],"Under":[39],"this":[40],"novel":[41],"framework":[42],"of":[43,81,89],"Maximum":[44],"Weighted":[45],"Multiple":[46],"Clique":[47],"Problem":[48],"(MWMCP),":[49],"have":[51,68,102],"derived":[52],"first":[54],"analytical":[55],"algorithm":[56],"based":[57],"on":[58],"column":[59],"generation":[60],"method":[61],"its":[63],"optimal":[64],"solution.":[65],"We":[66],"also":[67],"developed":[69],"a":[70,78],"sequential":[71],"heuristic":[72],"solution":[73],"large-scale":[75],"networks.":[76],"In":[77],"preliminary":[79],"study":[80],"immunologic":[82],"metabolic":[84],"indices":[85],"regarding":[86],"development":[88],"Type-1":[90],"Diabetes":[91,95],"(T1D)":[92],"from":[93],"Prevention":[96],"Trial-Type":[97],"1":[98],"(DPT-1)":[99],"study,":[100],"shown":[103],"proposed":[106],"can":[108],"important":[110],"T1D":[113],"onset.":[114]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
