{"id":"https://openalex.org/W2768369545","doi":"https://doi.org/10.1109/cbms.2017.22","title":"Exploiting Active MicroRNA Interactions for Diagnosis from Expression Profiling Experiments","display_name":"Exploiting Active MicroRNA Interactions for Diagnosis from Expression Profiling Experiments","publication_year":2017,"publication_date":"2017-06-01","ids":{"openalex":"https://openalex.org/W2768369545","doi":"https://doi.org/10.1109/cbms.2017.22","mag":"2768369545"},"language":"en","primary_location":{"id":"doi:10.1109/cbms.2017.22","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2017.22","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","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/A5024577980","display_name":"Erdem Corapcioglu","orcid":null},"institutions":[{"id":"https://openalex.org/I188740104","display_name":"Ba\u015fkent University","ror":"https://ror.org/02v9bqx10","country_code":"TR","type":"education","lineage":["https://openalex.org/I188740104"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Erdem Corapcioglu","raw_affiliation_strings":["Department of Computer Engineering, Ba\u015fkent University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ba\u015fkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I188740104"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086873572","display_name":"Hasan O\u011ful","orcid":"https://orcid.org/0000-0002-6043-1860"},"institutions":[{"id":"https://openalex.org/I188740104","display_name":"Ba\u015fkent University","ror":"https://ror.org/02v9bqx10","country_code":"TR","type":"education","lineage":["https://openalex.org/I188740104"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hasan Ogul","raw_affiliation_strings":["Department of Computer Engineering, Ba\u015fkent University, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ba\u015fkent University, Ankara, Turkey","institution_ids":["https://openalex.org/I188740104"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.16517168,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":null,"first_page":"458","last_page":"462"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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/T10062","display_name":"MicroRNA in disease regulation","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1306","display_name":"Cancer Research"},"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":0.9945999979972839,"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":0.7100394368171692},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.7089221477508545},{"id":"https://openalex.org/keywords/in-silico","display_name":"In silico","score":0.647724449634552},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.5795630812644958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5704876780509949},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5482693910598755},{"id":"https://openalex.org/keywords/microrna","display_name":"microRNA","score":0.5416167378425598},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4966486096382141},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4839682877063751},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4347626566886902},{"id":"https://openalex.org/keywords/labeled-data","display_name":"Labeled data","score":0.4100268483161926},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3454560339450836},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.20585036277770996},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14092761278152466}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7100394368171692},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.7089221477508545},{"id":"https://openalex.org/C2775905019","wikidata":"https://www.wikidata.org/wiki/Q192572","display_name":"In silico","level":3,"score":0.647724449634552},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.5795630812644958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5704876780509949},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5482693910598755},{"id":"https://openalex.org/C145059251","wikidata":"https://www.wikidata.org/wiki/Q310899","display_name":"microRNA","level":3,"score":0.5416167378425598},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4966486096382141},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4839682877063751},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4347626566886902},{"id":"https://openalex.org/C2776145971","wikidata":"https://www.wikidata.org/wiki/Q30673951","display_name":"Labeled data","level":2,"score":0.4100268483161926},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3454560339450836},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.20585036277770996},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14092761278152466},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cbms.2017.22","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cbms.2017.22","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE 30th International Symposium on Computer-Based Medical Systems (CBMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W144423133","https://openalex.org/W1468622774","https://openalex.org/W1563088657","https://openalex.org/W1689445748","https://openalex.org/W1978392040","https://openalex.org/W1994313617","https://openalex.org/W2016106370","https://openalex.org/W2021536610","https://openalex.org/W2048270152","https://openalex.org/W2084186152","https://openalex.org/W2084654177","https://openalex.org/W2097557760","https://openalex.org/W2103994569","https://openalex.org/W2130979840","https://openalex.org/W2134118500","https://openalex.org/W2137476312","https://openalex.org/W2149620660","https://openalex.org/W2151684171","https://openalex.org/W2156909104","https://openalex.org/W2157531738","https://openalex.org/W4285719527","https://openalex.org/W6681822384","https://openalex.org/W6683157813"],"related_works":["https://openalex.org/W2372020181","https://openalex.org/W2156531654","https://openalex.org/W1581723585","https://openalex.org/W4378714697","https://openalex.org/W2294330161","https://openalex.org/W2940472653","https://openalex.org/W2253069048","https://openalex.org/W2804553224","https://openalex.org/W140709781","https://openalex.org/W3214340375"],"abstract_inverted_index":{"In":[0,84],"silico":[1],"diagnosis":[2],"through":[3],"microRNA":[4],"expression":[5],"profiling":[6],"experiments":[7],"is":[8,21,32,65],"a":[9,25,29,44,78,101,156],"promising":[10],"direction":[11,117],"in":[12,115],"the":[13,40,62,107,128,132,142,150,163],"clinical":[14],"practices":[15],"of":[16,39,81,95,110,118,131],"bioinformatics":[17],"science.":[18],"The":[19],"task":[20],"computationally":[22],"defined":[23],"as":[24],"classification":[26,159],"problem":[27],"where":[28],"query":[30],"experiment":[31,82],"required":[33],"to":[34,58,67,86,140,155],"be":[35],"assigned":[36],"into":[37],"one":[38],"predefined":[41],"diseases":[42],"using":[43],"model":[45],"learned":[46],"from":[47],"previously":[48],"labeled":[49],"samples.":[50,74],"While":[51],"several":[52],"powerful":[53],"machine":[54],"learning":[55],"models":[56,70],"exist":[57],"perform":[59],"this":[60],"task,":[61],"challenging":[63],"issue":[64],"how":[66],"feed":[68],"these":[69],"by":[71,136],"effectively":[72],"encoded":[73],"This":[75],"encoding":[76,152],"requires":[77],"sensible":[79],"representation":[80,103],"content.":[83],"contrast":[85],"previous":[87],"data-driven":[88,165],"representations":[89],"based":[90],"on":[91],"observed":[92],"differential":[93],"expressions":[94],"individual":[96],"miRNAs,":[97],"we":[98],"offer":[99],"here":[100],"interaction-driven":[102],"scheme":[104],"that":[105,149],"considers":[106],"active":[108],"interactions":[109],"miRNAs":[111],"with":[112,162],"other":[113],"entities":[114],"either":[116],"gene":[119],"regulation,":[120],"i.e.":[121],"regulating":[122],"or":[123],"being":[124],"regulated.":[125],"We":[126,145],"use":[127],"enrichment":[129],"scores":[130],"miRNA":[133],"sets":[134],"annotated":[135],"corresponding":[137],"interaction":[138],"elements":[139],"encode":[141],"input":[143],"experiments.":[144],"have":[146],"empirically":[147],"shown":[148],"new":[151],"can":[153],"lead":[154],"higher":[157],"disease":[158],"accuracy":[160],"compared":[161],"traditional":[164],"approach.":[166]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
