{"id":"https://openalex.org/W4406271267","doi":"https://doi.org/10.1109/bibm62325.2024.10822728","title":"Multi Weighted Graphs as Magnifier to Discover Hidden Cross-Interactions among Biological Pathways","display_name":"Multi Weighted Graphs as Magnifier to Discover Hidden Cross-Interactions among Biological Pathways","publication_year":2024,"publication_date":"2024-12-03","ids":{"openalex":"https://openalex.org/W4406271267","doi":"https://doi.org/10.1109/bibm62325.2024.10822728"},"language":"en","primary_location":{"id":"doi:10.1109/bibm62325.2024.10822728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 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/A5078020905","display_name":"Giuseppe Agapito","orcid":"https://orcid.org/0000-0003-2868-7732"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Giuseppe Agapito","raw_affiliation_strings":["University Magna Gracia,Cultura Romana del Diritto e Sistemi Giuridici Contemporanei Res. Cent., Lab. di Storia Giuridica ed Economica Res. Cent.,Dep. of Law, Economics and Social Sciences,Catanzaro,Italy"],"affiliations":[{"raw_affiliation_string":"University Magna Gracia,Cultura Romana del Diritto e Sistemi Giuridici Contemporanei Res. Cent., Lab. di Storia Giuridica ed Economica Res. Cent.,Dep. of Law, Economics and Social Sciences,Catanzaro,Italy","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004845138","display_name":"Mario Cannataro","orcid":"https://orcid.org/0000-0003-1502-2387"},"institutions":[{"id":"https://openalex.org/I36443711","display_name":"Magna Graecia University","ror":"https://ror.org/0530bdk91","country_code":"IT","type":"education","lineage":["https://openalex.org/I36443711"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Mario Cannataro","raw_affiliation_strings":["University Magna Gracia,Data Analytics Research Center,Dep. of Medical and Surgical Sciences,Catanzaro,Italy"],"affiliations":[{"raw_affiliation_string":"University Magna Gracia,Data Analytics Research Center,Dep. of Medical and Surgical Sciences,Catanzaro,Italy","institution_ids":["https://openalex.org/I36443711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5093735873","display_name":"Gaetano Guardasole","orcid":null},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gaetano Guardasole","raw_affiliation_strings":["ex EP University of Calabria,Rende,Italy"],"affiliations":[{"raw_affiliation_string":"ex EP University of Calabria,Rende,Italy","institution_ids":["https://openalex.org/I45204951"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5078020905"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22108582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4338","last_page":"4345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9926999807357788,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9926999807357788,"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":0.9562000036239624,"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":0.9445000290870667,"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/computer-science","display_name":"Computer science","score":0.6046964526176453},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3589385449886322}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6046964526176453},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3589385449886322}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm62325.2024.10822728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm62325.2024.10822728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1578104218","https://openalex.org/W1842847600","https://openalex.org/W1978486653","https://openalex.org/W2017067934","https://openalex.org/W2026417691","https://openalex.org/W2046854548","https://openalex.org/W2070196278","https://openalex.org/W2088062845","https://openalex.org/W2118258530","https://openalex.org/W2139483589","https://openalex.org/W2147714160","https://openalex.org/W2153624566","https://openalex.org/W2163851058","https://openalex.org/W2188971254","https://openalex.org/W2770550875","https://openalex.org/W2977489313","https://openalex.org/W3027461786","https://openalex.org/W4200013834","https://openalex.org/W4211217667","https://openalex.org/W4233698560","https://openalex.org/W4246839339","https://openalex.org/W4293485789","https://openalex.org/W4306353209","https://openalex.org/W4310474142","https://openalex.org/W4319879505","https://openalex.org/W4385519612","https://openalex.org/W6639055396","https://openalex.org/W6861267566","https://openalex.org/W7062030810"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Scientists":[0],"and":[1,5,51,86,101,115,129,140,196],"researchers":[2,125],"need":[3],"robust":[4],"flexible":[6],"methods":[7],"to":[8,39,138,154,160,176,181,203],"identify":[9,182],"interactions":[10,85],"among":[11,189],"multiple":[12,70,87,103],"biological":[13,142],"pathways,":[14,179,190],"which":[15],"unveil":[16],"crucial":[17],"insights":[18],"otherwise":[19],"obscured":[20],"when":[21],"pathways":[22,42,53,143],"are":[23,43],"analyzed":[24],"in":[25],"isolation.":[26],"Understanding":[27],"these":[28],"complex":[29,84],"interrelations":[30],"is":[31,152],"vital":[32],"for":[33,77,126],"comprehensively":[34],"mapping":[35],"the":[36,83,102,113,122,156,162,165,170,192,208,218],"processes":[37],"relevant":[38],"their":[40],"research.Biological":[41],"categorized":[44],"into":[45],"three":[46],"main":[47],"classes:":[48],"signaling,":[49],"metabolic,":[50],"regulatory.The":[52],"representation":[54,81],"can":[55,72],"be":[56],"significantly":[57],"enhanced":[58],"using":[59],"multi":[60,145,173],"weighted":[61,146,174],"graphs":[62,175],"models,":[63],"a":[64,78,98,135],"concept":[65],"from":[66,217],"graph":[67,157],"theory":[68,158],"where":[69],"edges":[71,104],"connect":[73,177],"nodes.":[74],"This":[75],"allows":[76],"more":[79,127],"nuanced":[80],"of":[82,110,118,124,172,194,205,210],"relationships":[88],"between":[89,105],"pathway":[90,99,211],"elements.":[91],"In":[92,148],"this":[93,149],"model,":[94],"each":[95],"node":[96],"represents":[97],"element,":[100],"nodes":[106],"depict":[107],"various":[108],"types":[109],"interactions,":[111],"capturing":[112],"dynamic":[114],"multifaceted":[116],"nature":[117],"cellular":[119],"processes.To":[120],"address":[121],"needs":[123],"sophisticated":[128],"accurate":[130],"analysis,":[131],"we":[132],"have":[133],"developed":[134],"new":[136],"methodology":[137],"convert":[139],"represent":[141],"as":[144,215],"graphs.":[147,166],"way,":[150],"it":[151],"possible":[153],"recall":[155],"metrics":[159],"evaluate":[161],"elements":[163],"within":[164],"We":[167],"show":[168],"that":[169],"use":[171,193],"several":[178],"allowing":[180],"hidden":[183],"cross-pathways":[184],"links,":[185],"e.g.,":[186],"genes":[187,201],"shared":[188],"through":[191],"PageRank":[195],"Kats":[197],"index.":[198],"The":[199],"discovered":[200],"allow":[202],"improve":[204],"some":[206],"order":[207],"magnitude":[209],"enrichment":[212],"analysis":[213],"results,":[214],"conveyed":[216],"reached":[219],"p-values.":[220]},"counts_by_year":[],"updated_date":"2025-12-27T23:08:20.325037","created_date":"2025-10-10T00:00:00"}
