{"id":"https://openalex.org/W2605625143","doi":"https://doi.org/10.1109/bhi.2017.7897242","title":"A computational pipeline for deciphering the molecular mechanisms of oral cancer progression","display_name":"A computational pipeline for deciphering the molecular mechanisms of oral cancer progression","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2605625143","doi":"https://doi.org/10.1109/bhi.2017.7897242","mag":"2605625143"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2017.7897242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2017.7897242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5067569191","display_name":"\u039a\u03c9\u03bd\u03c3\u03c4\u03b1\u03bd\u03c4\u03af\u03bd\u03b1 \u039a\u03bf\u03cd\u03c1\u03bf\u03c5","orcid":"https://orcid.org/0000-0003-4310-2739"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Konstantina Kourou","raw_affiliation_strings":["Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052002130","display_name":"Costas Papaloukas","orcid":"https://orcid.org/0000-0002-6736-5536"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Costas Papaloukas","raw_affiliation_strings":["Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057894101","display_name":"Dimitrios I. Fotiadis","orcid":"https://orcid.org/0000-0002-5987-9350"},"institutions":[{"id":"https://openalex.org/I194019607","display_name":"University of Ioannina","ror":"https://ror.org/01qg3j183","country_code":"GR","type":"education","lineage":["https://openalex.org/I194019607"]},{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Dimitrios I. Fotiadis","raw_affiliation_strings":["Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece","Foundation for Research and Technology-Hellas (FORTH)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Materials Science and Engineering, University of Ioannina, Ioannina, Greece","institution_ids":["https://openalex.org/I194019607"]},{"raw_affiliation_string":"Foundation for Research and Technology-Hellas (FORTH)","institution_ids":["https://openalex.org/I8901234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"209","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9993000030517578,"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":0.9993000030517578,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9911999702453613,"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/T11072","display_name":"Peroxisome Proliferator-Activated Receptors","score":0.9817000031471252,"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/gene","display_name":"Gene","score":0.6087973713874817},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.6046544909477234},{"id":"https://openalex.org/keywords/microarray-analysis-techniques","display_name":"Microarray analysis techniques","score":0.5825914740562439},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.5558037161827087},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.5503860116004944},{"id":"https://openalex.org/keywords/microarray","display_name":"Microarray","score":0.5164899826049805},{"id":"https://openalex.org/keywords/oncogene","display_name":"Oncogene","score":0.5076230764389038},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.44993120431900024},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.37962788343429565},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.262761652469635},{"id":"https://openalex.org/keywords/cell-cycle","display_name":"Cell cycle","score":0.17313960194587708}],"concepts":[{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.6087973713874817},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.6046544909477234},{"id":"https://openalex.org/C8415881","wikidata":"https://www.wikidata.org/wiki/Q6839217","display_name":"Microarray analysis techniques","level":4,"score":0.5825914740562439},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.5558037161827087},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.5503860116004944},{"id":"https://openalex.org/C186836561","wikidata":"https://www.wikidata.org/wiki/Q1931516","display_name":"Microarray","level":4,"score":0.5164899826049805},{"id":"https://openalex.org/C2781018059","wikidata":"https://www.wikidata.org/wiki/Q207609","display_name":"Oncogene","level":4,"score":0.5076230764389038},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.44993120431900024},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.37962788343429565},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.262761652469635},{"id":"https://openalex.org/C29537977","wikidata":"https://www.wikidata.org/wiki/Q188941","display_name":"Cell cycle","level":3,"score":0.17313960194587708}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bhi.2017.7897242","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2017.7897242","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W180513472","https://openalex.org/W1527927437","https://openalex.org/W1546952499","https://openalex.org/W1570820201","https://openalex.org/W1963828558","https://openalex.org/W2023586545","https://openalex.org/W2023643669","https://openalex.org/W2024909802","https://openalex.org/W2025738103","https://openalex.org/W2037100030","https://openalex.org/W2054378536","https://openalex.org/W2093003148","https://openalex.org/W2115307546","https://openalex.org/W2130410032","https://openalex.org/W2146512944","https://openalex.org/W2148638118","https://openalex.org/W2155542219","https://openalex.org/W2163480486","https://openalex.org/W2169589032","https://openalex.org/W2345356016","https://openalex.org/W2537623931","https://openalex.org/W4242404314","https://openalex.org/W6728998201"],"related_works":["https://openalex.org/W2796636403","https://openalex.org/W2364565895","https://openalex.org/W2015700328","https://openalex.org/W2767847608","https://openalex.org/W2911678823","https://openalex.org/W2152648570","https://openalex.org/W2037892364","https://openalex.org/W2319154570","https://openalex.org/W2388669904","https://openalex.org/W2114409792"],"abstract_inverted_index":{"In":[0,83],"this":[1],"work":[2],"we":[3,64],"present":[4],"a":[5,93],"computational":[6],"pipeline":[7],"in":[8,73,109,125],"order":[9],"to":[10,35,67,100,119],"further":[11,145],"study":[12],"the":[13,17,37,51,57,69,113,129],"molecular":[14,78,97],"mechanisms":[15],"underlying":[16],"progression":[18],"of":[19,28,50,75,96],"Oral":[20],"Squamous":[21],"Cell":[22],"Carcinoma.":[23],"Microarray":[24],"gene":[25,47],"expression":[26,71],"data":[27],"oral":[29,126],"cancer":[30],"patients":[31],"are":[32,61,65,138],"exploited":[33],"aiming":[34],"identify":[36],"differentially":[38],"expressed":[39],"genes":[40,53,104,123],"between":[41],"relapse":[42],"and":[43,56,80,134,140],"non-relapse":[44],"samples.":[45],"Furthermore,":[46],"ontology":[48],"analysis":[49,87,102],"significant":[52],"is":[54,88],"performed":[55],"associated":[58],"functional":[59],"groups":[60],"annotated.":[62],"Thus,":[63],"able":[66],"interpret":[68],"differential":[70],"results":[72],"terms":[74],"biological":[76],"processes,":[77],"functions":[79],"cellular":[81],"components.":[82],"addition,":[84],"pathway":[85,130],"enrichment":[86,131],"also":[89],"considered":[90,143],"based":[91],"on":[92],"curated":[94],"database":[95],"pathways.":[98],"According":[99],"our":[101],"results,":[103],"that":[105],"exhibit":[106],"remarkable":[107],"changes":[108],"expression,":[110],"such":[111],"as":[112],"YES1":[114],"oncogene":[115],"has":[116],"been":[117],"predicted":[118],"interact":[120],"closely":[121],"with":[122],"implicated":[124],"cancer.":[127],"Concerning":[128],"analysis,":[132],"Ribosome":[133],"Tyrosine":[135],"metabolism":[136],"pathways":[137],"identified":[139],"should":[141],"be":[142],"for":[144],"analysis.":[146]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}