{"id":"https://openalex.org/W4404030866","doi":"https://doi.org/10.1109/icccnt61001.2024.10725601","title":"Utilizing Deep Learning Methods for Cancer Detection through Analysis of MicroRNA Expression Profiles","display_name":"Utilizing Deep Learning Methods for Cancer Detection through Analysis of MicroRNA Expression Profiles","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404030866","doi":"https://doi.org/10.1109/icccnt61001.2024.10725601"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10725601","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5048451729","display_name":"Sriharsha Kantamneni","orcid":"https://orcid.org/0000-0002-3750-9447"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Samiksha Kantamneni","raw_affiliation_strings":["NITK,Information Technology,Surathkal,Karnataka"],"affiliations":[{"raw_affiliation_string":"NITK,Information Technology,Surathkal,Karnataka","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109781385","display_name":"Poorna Hegde","orcid":null},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Poorna Hegde","raw_affiliation_strings":["NITK,Information Technology,Surathkal,Karnataka"],"affiliations":[{"raw_affiliation_string":"NITK,Information Technology,Surathkal,Karnataka","institution_ids":["https://openalex.org/I11880225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040815462","display_name":"Nagamma Patil","orcid":"https://orcid.org/0000-0001-9924-9559"},"institutions":[{"id":"https://openalex.org/I11880225","display_name":"National Institute of Technology Karnataka","ror":"https://ror.org/01hz4v948","country_code":"IN","type":"education","lineage":["https://openalex.org/I11880225"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Nagamma Patil","raw_affiliation_strings":["NITK,Information Technology,Surathkal,Karnataka"],"affiliations":[{"raw_affiliation_string":"NITK,Information Technology,Surathkal,Karnataka","institution_ids":["https://openalex.org/I11880225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048451729"],"corresponding_institution_ids":["https://openalex.org/I11880225"],"apc_list":null,"apc_paid":null,"fwci":0.3283,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61882447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10062","display_name":"MicroRNA in disease regulation","score":0.9358000159263611,"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/T10062","display_name":"MicroRNA in disease regulation","score":0.9358000159263611,"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":0.923799991607666,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9233999848365784,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/microrna","display_name":"microRNA","score":0.6906206011772156},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5984987616539001},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5040675401687622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48586031794548035},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4718570411205292},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4511602520942688},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3344985842704773},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17351198196411133},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.14614209532737732},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.11032110452651978},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.08435097336769104},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.06444275379180908}],"concepts":[{"id":"https://openalex.org/C145059251","wikidata":"https://www.wikidata.org/wiki/Q310899","display_name":"microRNA","level":3,"score":0.6906206011772156},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5984987616539001},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5040675401687622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48586031794548035},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4718570411205292},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4511602520942688},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3344985842704773},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17351198196411133},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.14614209532737732},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.11032110452651978},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.08435097336769104},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.06444275379180908},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10725601","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icccnt61001.2024.10725601","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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":15,"referenced_works":["https://openalex.org/W1938908299","https://openalex.org/W2123179625","https://openalex.org/W2132619562","https://openalex.org/W2163482204","https://openalex.org/W2766298346","https://openalex.org/W2767081609","https://openalex.org/W2884508733","https://openalex.org/W2902217684","https://openalex.org/W2924066922","https://openalex.org/W2985083843","https://openalex.org/W3048208816","https://openalex.org/W4214587845","https://openalex.org/W4229441185","https://openalex.org/W4296838339","https://openalex.org/W4386782969"],"related_works":["https://openalex.org/W2737319532","https://openalex.org/W4392896533","https://openalex.org/W2062945643","https://openalex.org/W4375867731","https://openalex.org/W2050308539","https://openalex.org/W3151405604","https://openalex.org/W4241694095","https://openalex.org/W2330252996","https://openalex.org/W2793648706","https://openalex.org/W3043187607"],"abstract_inverted_index":{"Integration":[0],"of":[1,26,65,84,108,115,142,180,190,206,250],"cutting-edge":[2],"computational":[3],"methods":[4],"and":[5,19,57,76,82,90,124,134,140,148,164,183,196,227],"genomic":[6,24,74,132],"data":[7],"analysis":[8],"has":[9],"become":[10],"crucial":[11],"in":[12,121,217,240,253],"the":[13,80,103,113,138,178,207,245,248],"quest":[14],"for":[15,37,49,105,192,247],"early":[16,228],"cancer":[17,32,50,85,117,143,255],"diagnosis":[18,123],"enhanced":[20],"diagnostic":[21,225],"accuracy.":[22],"The":[23],"sequences":[25],"microRNAs":[27],"(miRNAs),":[28],"which":[29],"are":[30,237],"important":[31,35],"biomarkers,":[33],"provide":[34],"information":[36],"this.":[38],"In":[39],"this":[40],"study,":[41],"we":[42,175],"propose":[43],"a":[44,53,58,221],"novel":[45],"deep":[46,109,251],"learning-based":[47],"framework":[48],"detection":[51,86,144],"with":[52,62],"focus":[54],"on":[55],"FNNs":[56],"hybrid":[59],"DNN":[60],"model":[61,182,200],"an":[63,188],"accuracy":[64,189,226],"over":[66],"90.7%.":[67],"Our":[68,126,158],"method":[69,127],"aims":[70,128],"to":[71,129,161,203],"identify":[72,130],"detailed":[73,131],"patterns":[75,133],"features":[77,135],"that":[78,136,233],"improve":[79,137,162],"sensitivity":[81,139,163],"specificity":[83,141,165],"by":[87,145,166],"painstakingly":[88,146],"curating":[89,147],"preprocessing":[91,149],"large":[92,150],"miRNA":[93,151,234],"datasets":[94,152],"gathered":[95,153],"from":[96,154],"various":[97,155],"patient":[98,156],"cohorts.":[99,157],"This":[100,212],"research":[101,213],"sets":[102],"stage":[104],"further":[106],"exploration":[107],"learning":[110,210,252],"methodologies":[111],"within":[112],"context":[114],"miRNA-based":[116,254],"detection,":[118],"promising":[119],"advancements":[120],"personalized":[122],"prognosis.":[125],"approach":[159],"seeks":[160],"deciphering":[167],"complex":[168],"genetic":[169],"patterns.":[170],"By":[171],"utilizing":[172],"these":[173],"datasets,":[174],"show":[176],"off":[177],"effectiveness":[179],"our":[181,193],"its":[184],"clinical":[185],"potential,":[186],"giving":[187],"90.7%":[191],"Hybrid":[194],"Feedforward":[195],"Dense":[197],"Neural":[198],"Network":[199],"as":[201],"compared":[202],"current":[204],"state":[205],"art":[208],"machine":[209],"models.":[211],"promises":[214],"revolutionary":[215],"advances":[216],"customized":[218],"oncology,":[219],"providing":[220],"route":[222],"towards":[223],"improved":[224],"intervention.":[229],"It":[230,242],"also":[231,243],"proves":[232],"expressions":[235],"values":[236],"not":[238],"sequential":[239],"nature.":[241],"lays":[244],"groundwork":[246],"development":[249],"detection.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
