{"id":"https://openalex.org/W2535167488","doi":"https://doi.org/10.1109/embc.2016.7590977","title":"Biclustering strategies for genetic marker selection in gynecologic tumor cell lines","display_name":"Biclustering strategies for genetic marker selection in gynecologic tumor cell lines","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2535167488","doi":"https://doi.org/10.1109/embc.2016.7590977","mag":"2535167488","pmid":"https://pubmed.ncbi.nlm.nih.gov/28324944"},"language":"en","primary_location":{"id":"doi:10.1109/embc.2016.7590977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7590977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5059158226","display_name":"A. Alevyzaki","orcid":null},"institutions":[{"id":"https://openalex.org/I55741626","display_name":"Technical University of Crete","ror":"https://ror.org/03f8bz564","country_code":"GR","type":"education","lineage":["https://openalex.org/I55741626"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"A. Alevyzaki","raw_affiliation_strings":["School of Electronic and Computer Engineering, Technical University of Crete, Chania, GR, Hellas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Technical University of Crete, Chania, GR, Hellas","institution_ids":["https://openalex.org/I55741626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012956979","display_name":"Stelios Sfakianakis","orcid":"https://orcid.org/0000-0001-8424-4157"},"institutions":[{"id":"https://openalex.org/I4210121775","display_name":"FORTH Institute of Computer Science","ror":"https://ror.org/02tf48g55","country_code":"GR","type":"facility","lineage":["https://openalex.org/I4210121775","https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"S. Sfakianakis","raw_affiliation_strings":["FORTH, Institute of Computer Science, Heraklion, GR, Hellas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"FORTH, Institute of Computer Science, Heraklion, GR, Hellas","institution_ids":["https://openalex.org/I4210121775"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086247449","display_name":"Ekaterini S. Bei","orcid":null},"institutions":[{"id":"https://openalex.org/I55741626","display_name":"Technical University of Crete","ror":"https://ror.org/03f8bz564","country_code":"GR","type":"education","lineage":["https://openalex.org/I55741626"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"E.S. Bei","raw_affiliation_strings":["School of Electronic and Computer Engineering, Technical University of Crete, Chania, GR, Hellas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Technical University of Crete, Chania, GR, Hellas","institution_ids":["https://openalex.org/I55741626"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040121167","display_name":"Eva Obermayr","orcid":"https://orcid.org/0000-0001-6324-2961"},"institutions":[{"id":"https://openalex.org/I76134821","display_name":"Medical University of Vienna","ror":"https://ror.org/05n3x4p02","country_code":"AT","type":"education","lineage":["https://openalex.org/I76134821"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"E. Obermayr","raw_affiliation_strings":["Department of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I76134821"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073544981","display_name":"Robert Zeillinger","orcid":"https://orcid.org/0000-0001-6771-4591"},"institutions":[{"id":"https://openalex.org/I76134821","display_name":"Medical University of Vienna","ror":"https://ror.org/05n3x4p02","country_code":"AT","type":"education","lineage":["https://openalex.org/I76134821"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"R. Zeillinger","raw_affiliation_strings":["Department of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I76134821"]}]},{"author_position":"middle","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"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"D. Fotiadis","raw_affiliation_strings":["Department of Materials Science and Engineering, University of Ioannina, Ioannina, GR, Hellas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Materials Science and Engineering, University of Ioannina, Ioannina, GR, Hellas","institution_ids":["https://openalex.org/I194019607"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113661535","display_name":"Michalis Zervakis","orcid":null},"institutions":[{"id":"https://openalex.org/I55741626","display_name":"Technical University of Crete","ror":"https://ror.org/03f8bz564","country_code":"GR","type":"education","lineage":["https://openalex.org/I55741626"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"M. Zervakis","raw_affiliation_strings":["School of Electronic and Computer Engineering, Technical University of Crete, Chania, GR, Hellas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electronic and Computer Engineering, Technical University of Crete, Chania, GR, Hellas","institution_ids":["https://openalex.org/I55741626"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"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":"8","issue":null,"first_page":"1430","last_page":"1433"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9998999834060669,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9998999834060669,"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/T12867","display_name":"Advanced Biosensing Techniques and Applications","score":0.993399977684021,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/computational-biology","display_name":"Computational biology","score":0.626904308795929},{"id":"https://openalex.org/keywords/biclustering","display_name":"Biclustering","score":0.6196780800819397},{"id":"https://openalex.org/keywords/dna-microarray","display_name":"DNA microarray","score":0.5821187496185303},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.49339547753334045},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.47423025965690613},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.459663987159729},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.3834581971168518},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.35886722803115845},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.3531070351600647},{"id":"https://openalex.org/keywords/gene-expression","display_name":"Gene expression","score":0.2824278771877289},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2626580595970154},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.2601071000099182}],"concepts":[{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.626904308795929},{"id":"https://openalex.org/C144817290","wikidata":"https://www.wikidata.org/wiki/Q2976575","display_name":"Biclustering","level":5,"score":0.6196780800819397},{"id":"https://openalex.org/C95371953","wikidata":"https://www.wikidata.org/wiki/Q591745","display_name":"DNA microarray","level":4,"score":0.5821187496185303},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.49339547753334045},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.47423025965690613},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.459663987159729},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.3834581971168518},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.35886722803115845},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.3531070351600647},{"id":"https://openalex.org/C150194340","wikidata":"https://www.wikidata.org/wiki/Q26972","display_name":"Gene expression","level":3,"score":0.2824278771877289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2626580595970154},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.2601071000099182},{"id":"https://openalex.org/C94641424","wikidata":"https://www.wikidata.org/wiki/Q5172845","display_name":"Correlation clustering","level":3,"score":0.0},{"id":"https://openalex.org/C33704608","wikidata":"https://www.wikidata.org/wiki/Q5014717","display_name":"CURE data clustering algorithm","level":4,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005819","descriptor_name":"Genetic Markers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005819","descriptor_name":"Genetic Markers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005819","descriptor_name":"Genetic Markers","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020411","descriptor_name":"Oligonucleotide Array Sequence Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D045744","descriptor_name":"Cell Line, Tumor","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D045744","descriptor_name":"Cell Line, Tumor","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D045744","descriptor_name":"Cell Line, Tumor","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/embc.2016.7590977","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc.2016.7590977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:28324944","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28324944","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":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W196542726","https://openalex.org/W1493217831","https://openalex.org/W1968464607","https://openalex.org/W1974340769","https://openalex.org/W1997338647","https://openalex.org/W2004529542","https://openalex.org/W2036328877","https://openalex.org/W2048437634","https://openalex.org/W2059736685","https://openalex.org/W2115875363","https://openalex.org/W2135000328","https://openalex.org/W2135187880","https://openalex.org/W2144544802","https://openalex.org/W2150926065","https://openalex.org/W2161488150","https://openalex.org/W2168102484","https://openalex.org/W2169589032","https://openalex.org/W2182636428","https://openalex.org/W2993257604","https://openalex.org/W4238036112","https://openalex.org/W4242399520","https://openalex.org/W6629329278","https://openalex.org/W6858495730"],"related_works":["https://openalex.org/W1974340769","https://openalex.org/W2900595096","https://openalex.org/W4289277241","https://openalex.org/W2979322793","https://openalex.org/W2765801824","https://openalex.org/W2188068678","https://openalex.org/W2157302779","https://openalex.org/W4236723217","https://openalex.org/W2611629964","https://openalex.org/W2113284213"],"abstract_inverted_index":{"Over":[0],"the":[1,24,29,43,71,89,124,169,176],"past":[2],"few":[3],"decades":[4],"great":[5],"interest":[6],"has":[7],"been":[8,38],"focused":[9],"on":[10,114,144],"cell":[11,55,149,164],"lines":[12,56,102,150],"derived":[13],"from":[14,62],"tumors,":[15],"because":[16],"of":[17,26,46,48,91,99,103,133,141,148,156,162,178],"their":[18],"usability":[19],"as":[20,35],"models":[21],"to":[22,41,152],"understand":[23],"biology":[25,73],"cancer.":[27],"At":[28],"same":[30],"time,":[31],"advanced":[32],"technologies":[33],"such":[34],"DNA-microarrays":[36],"have":[37,66],"broadly":[39],"used":[40],"study":[42],"expression":[44,95],"level":[45],"thousands":[47],"genes":[49,92],"in":[50,57],"primary":[51],"tumors":[52],"or":[53],"cancer":[54],"a":[58,97,104,111,145],"single":[59],"experiment.":[60],"Results":[61],"microarray":[63],"analysis":[64],"approaches":[65],"provided":[67],"valuable":[68],"insights":[69],"into":[70],"underlying":[72],"and":[74,81],"proven":[75,173],"useful":[76],"for":[77,88,121,175],"tumor":[78,105,163],"classification,":[79],"prognostication":[80],"prediction.":[82],"Our":[83],"approach":[84,143,171],"utilizes":[85],"biclustering":[86],"methods":[87],"discovery":[90],"with":[93],"coherent":[94],"across":[96,123,159],"subset":[98],"conditions":[100],"(cell":[101],"type).":[106],"More":[107],"specifically,":[108],"we":[109],"present":[110],"novel":[112],"modification":[113],"Cheng":[115],"&":[116],"Church's":[117],"algorithm":[118],"that":[119],"searches":[120],"differences":[122],"studied":[125],"conditions,":[126],"but":[127],"also":[128],"enforces":[129],"consistent":[130],"intensity":[131],"characteristics":[132],"each":[134,137],"cluster":[135],"within":[136],"condition.":[138],"The":[139],"application":[140],"this":[142,167],"gynecologic":[146],"panel":[147],"succeeds":[151],"derive":[153],"discriminant":[154],"groups":[155],"compact":[157],"bi-clusters":[158],"four":[160],"types":[161],"lines.":[165],"In":[166],"form,":[168],"proposed":[170],"is":[172],"efficient":[174],"derivation":[177],"tumor-specific":[179],"markers.":[180]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
