{"id":"https://openalex.org/W2898746416","doi":"https://doi.org/10.1109/embc.2018.8513431","title":"Automated Extension of Cell Signaling Models with Genetic Algorithm","display_name":"Automated Extension of Cell Signaling Models with Genetic Algorithm","publication_year":2018,"publication_date":"2018-07-01","ids":{"openalex":"https://openalex.org/W2898746416","doi":"https://doi.org/10.1109/embc.2018.8513431","mag":"2898746416","pmid":"https://pubmed.ncbi.nlm.nih.gov/30441471"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2018.8513431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8513431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","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/A5024140128","display_name":"Khaled Sayed","orcid":"https://orcid.org/0000-0002-1252-3170"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Khaled Sayed","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, PA, US"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, PA, US","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074846549","display_name":"Kara Bocan","orcid":"https://orcid.org/0000-0002-5780-5016"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kara N. Bocan","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, PA, US"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, PA, US","institution_ids":["https://openalex.org/I170201317"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017141796","display_name":"Nata\u0161a Mi\u0161kov-\u017divanov","orcid":"https://orcid.org/0000-0003-1110-3403"},"institutions":[{"id":"https://openalex.org/I170201317","display_name":"University of Pittsburgh","ror":"https://ror.org/01an3r305","country_code":"US","type":"education","lineage":["https://openalex.org/I170201317"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Natasa Miskov-Zivanov","raw_affiliation_strings":["University of Pittsburgh, Pittsburgh, PA, US"],"affiliations":[{"raw_affiliation_string":"University of Pittsburgh, Pittsburgh, PA, US","institution_ids":["https://openalex.org/I170201317"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5024140128"],"corresponding_institution_ids":["https://openalex.org/I170201317"],"apc_list":null,"apc_paid":null,"fwci":0.8273,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.72619273,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2018","issue":null,"first_page":"5030","last_page":"5033"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9991999864578247,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9991999864578247,"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/T10932","display_name":"Microbial Metabolic Engineering and Bioproduction","score":0.9915000200271606,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.984499990940094,"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/extension","display_name":"Extension (predicate logic)","score":0.8588219881057739},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6604387164115906},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6482334733009338},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.5833526253700256},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.5597060918807983},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5503664016723633},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5295805931091309},{"id":"https://openalex.org/keywords/logical-data-model","display_name":"Logical data model","score":0.5119929909706116},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4216667115688324},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35520023107528687},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.35231494903564453},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34630101919174194},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33439669013023376},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2032577395439148},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.11054754257202148},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.08403429388999939}],"concepts":[{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.8588219881057739},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6604387164115906},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6482334733009338},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.5833526253700256},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.5597060918807983},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5503664016723633},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5295805931091309},{"id":"https://openalex.org/C203702819","wikidata":"https://www.wikidata.org/wiki/Q17146953","display_name":"Logical data model","level":3,"score":0.5119929909706116},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4216667115688324},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35520023107528687},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.35231494903564453},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34630101919174194},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33439669013023376},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2032577395439148},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.11054754257202148},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.08403429388999939},{"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":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002454","descriptor_name":"Cell Differentiation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002454","descriptor_name":"Cell Differentiation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002454","descriptor_name":"Cell Differentiation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","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":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013601","descriptor_name":"T-Lymphocytes","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D013601","descriptor_name":"T-Lymphocytes","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D013601","descriptor_name":"T-Lymphocytes","qualifier_ui":"Q000166","qualifier_name":"cytology","is_major_topic":false},{"descriptor_ui":"D015398","descriptor_name":"Signal Transduction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015398","descriptor_name":"Signal Transduction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015398","descriptor_name":"Signal Transduction","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2018.8513431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2018.8513431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:30441471","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30441471","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":[{"score":0.800000011920929,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332180","display_name":"Defense Advanced Research Projects Agency","ror":"https://ror.org/02caytj08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W256129609","https://openalex.org/W1578104218","https://openalex.org/W1981268612","https://openalex.org/W2047094503","https://openalex.org/W2109042184","https://openalex.org/W2121525198","https://openalex.org/W2251392452","https://openalex.org/W2554713541","https://openalex.org/W2612129877","https://openalex.org/W2626218535","https://openalex.org/W2626773017","https://openalex.org/W2963528844","https://openalex.org/W6676279030","https://openalex.org/W6740115311"],"related_works":["https://openalex.org/W3089353361","https://openalex.org/W81164209","https://openalex.org/W638142098","https://openalex.org/W2991945580","https://openalex.org/W1592030807","https://openalex.org/W2098136777","https://openalex.org/W846443833","https://openalex.org/W2050347474","https://openalex.org/W2400510421","https://openalex.org/W2547185650"],"abstract_inverted_index":{"The":[0,77,151,181],"number":[1],"of":[2,68,88,104,113,133,164,171],"published":[3,32],"results":[4,153,182],"in":[5],"biology":[6],"and":[7,15,41,43,122,194],"medicine":[8],"is":[9,24,49,80,187],"growing":[10],"at":[11],"an":[12,116,188],"exceeding":[13],"rate,":[14],"thus,":[16],"extracting":[17],"relevant":[18],"information":[19],"for":[20,64,85,143,191,201],"building":[21],"useful":[22],"models":[23,36,67,94],"becoming":[25],"very":[26],"laborious.":[27],"Furthermore,":[28],"with":[29,44,125,174],"the":[30,45,53,102,105,131,139,144,149,156,168,172,178,185],"newly":[31],"information,":[33],"previously":[34],"built":[35],"need":[37],"to":[38,51,82,129,141,160],"be":[39,199],"extended":[40],"updated,":[42],"voluminous":[46],"literature,":[47],"it":[48,197],"necessary":[50],"automate":[52],"model":[54,173,192,202],"extension":[55],"process.":[56],"In":[57],"this":[58],"work,":[59],"we":[60,108],"introduce":[61],"a":[62,73,86,111,162],"methodology":[63],"extending":[65],"logical":[66,93],"cell":[69,119],"signaling":[70],"networks":[71],"using":[72],"Genetic":[74],"Algorithm":[75],"(GA).":[76],"proposed":[78,106],"procedure":[79],"developed":[81],"optimally":[83,147],"search":[84,142],"subset":[87,112],"biological":[89],"interactions":[90,128],"that":[91,146,155,166,184,196],"extend":[92],"while":[95],"preserving":[96],"their":[97],"desired":[98,169],"behavior.":[99],"To":[100],"evaluate":[101],"effectiveness":[103],"methodology,":[107],"randomly":[109,126],"removed":[110],"elements":[114,176],"from":[115],"existing":[117],"T":[118],"differentiation":[120],"model,":[121],"mixed":[123],"them":[124],"created":[127],"mimic":[130],"output":[132],"literature":[134],"reading.":[135],"We":[136],"then":[137],"used":[138,200],"GA":[140,157,186],"extensions":[145,165],"reconstructed":[148],"model.":[150,180],"simulation":[152],"showed":[154],"was":[158],"able":[159],"find":[161],"set":[163],"preserved":[167],"behavior":[170],"fewer":[175],"than":[177],"original":[179],"demonstrate":[183],"efficient":[189],"tool":[190],"extension,":[193],"suggest":[195],"can":[198],"reduction":[203],"as":[204],"well.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
