{"id":"https://openalex.org/W3113122183","doi":"https://doi.org/10.1109/cibcb48159.2020.9277723","title":"miRNAFinder: A pre-microRNA classifier for plants and analysis of feature impact","display_name":"miRNAFinder: A pre-microRNA classifier for plants and analysis of feature impact","publication_year":2020,"publication_date":"2020-10-27","ids":{"openalex":"https://openalex.org/W3113122183","doi":"https://doi.org/10.1109/cibcb48159.2020.9277723","mag":"3113122183"},"language":"en","primary_location":{"id":"doi:10.1109/cibcb48159.2020.9277723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb48159.2020.9277723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","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/A5000349066","display_name":"Puwasuru Ihalagedara","orcid":"https://orcid.org/0000-0002-3165-4299"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":true,"raw_author_name":"Puwasuru Ihalagedara","raw_affiliation_strings":["Department of Computer Engineering, University of Peradeniya, Peradeniya, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006235076","display_name":"Sandali Lokuge","orcid":"https://orcid.org/0000-0001-5824-7610"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Sandali Lokuge","raw_affiliation_strings":["Department of Computer Engineering, University of Peradeniya, Peradeniya, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035656607","display_name":"Shyaman Jayasundara","orcid":"https://orcid.org/0000-0003-0522-3353"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Shyaman Jayasundara","raw_affiliation_strings":["Department of Computer Engineering, University of Peradeniya, Peradeniya, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021169741","display_name":"Damayanthi Herath","orcid":"https://orcid.org/0000-0002-2044-7737"},"institutions":[{"id":"https://openalex.org/I111199411","display_name":"University of Peradeniya","ror":"https://ror.org/025h79t26","country_code":"LK","type":"education","lineage":["https://openalex.org/I111199411"]}],"countries":["LK"],"is_corresponding":false,"raw_author_name":"Damayanthi Herath","raw_affiliation_strings":["Department of Computer Engineering, University of Peradeniya, Peradeniya, Sri Lanka"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, University of Peradeniya, Peradeniya, Sri Lanka","institution_ids":["https://openalex.org/I111199411"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010719226","display_name":"Indika Kahanda","orcid":"https://orcid.org/0000-0002-4536-6917"},"institutions":[{"id":"https://openalex.org/I23732399","display_name":"Montana State University","ror":"https://ror.org/02w0trx84","country_code":"US","type":"education","lineage":["https://openalex.org/I23732399","https://openalex.org/I4210126032"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Indika Kahanda","raw_affiliation_strings":["Gianforte School of Computing, Montana State University, Bozeman, Montana, United States"],"affiliations":[{"raw_affiliation_string":"Gianforte School of Computing, Montana State University, Bozeman, Montana, United States","institution_ids":["https://openalex.org/I23732399"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5000349066"],"corresponding_institution_ids":["https://openalex.org/I111199411"],"apc_list":null,"apc_paid":null,"fwci":0.0799,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.39793245,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"31","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":0.9993000030517578,"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":0.9993000030517578,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9968000054359436,"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/T10184","display_name":"Plant Molecular Biology Research","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7513285875320435},{"id":"https://openalex.org/keywords/microrna","display_name":"microRNA","score":0.7413305044174194},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6944184303283691},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6892136931419373},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.564087450504303},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4655172824859619},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44016844034194946},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4229919910430908},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.36929842829704285},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.23447030782699585},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2174270749092102},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.08807215094566345}],"concepts":[{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7513285875320435},{"id":"https://openalex.org/C145059251","wikidata":"https://www.wikidata.org/wiki/Q310899","display_name":"microRNA","level":3,"score":0.7413305044174194},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6944184303283691},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6892136931419373},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.564087450504303},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4655172824859619},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44016844034194946},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4229919910430908},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.36929842829704285},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.23447030782699585},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2174270749092102},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.08807215094566345},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cibcb48159.2020.9277723","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cibcb48159.2020.9277723","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.7099999785423279,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1601601267","https://openalex.org/W1920564293","https://openalex.org/W1954076721","https://openalex.org/W1967517087","https://openalex.org/W1977923143","https://openalex.org/W1994645662","https://openalex.org/W2008329560","https://openalex.org/W2011820514","https://openalex.org/W2020878700","https://openalex.org/W2053330542","https://openalex.org/W2081747395","https://openalex.org/W2088926042","https://openalex.org/W2099485284","https://openalex.org/W2100928957","https://openalex.org/W2101234009","https://openalex.org/W2103250001","https://openalex.org/W2106423003","https://openalex.org/W2110521135","https://openalex.org/W2114973325","https://openalex.org/W2117391818","https://openalex.org/W2123994260","https://openalex.org/W2126923924","https://openalex.org/W2131674459","https://openalex.org/W2133609306","https://openalex.org/W2138664009","https://openalex.org/W2140751493","https://openalex.org/W2141292707","https://openalex.org/W2149009156","https://openalex.org/W2150770935","https://openalex.org/W2153635508","https://openalex.org/W2154513100","https://openalex.org/W2155618135","https://openalex.org/W2157009395","https://openalex.org/W2157039533","https://openalex.org/W2160467221","https://openalex.org/W2215710308","https://openalex.org/W2326905672","https://openalex.org/W2478884298","https://openalex.org/W2602538792","https://openalex.org/W2759113846","https://openalex.org/W2768053821","https://openalex.org/W2898440040","https://openalex.org/W2913972604","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W3193043704","https://openalex.org/W4386259002","https://openalex.org/W1546989560","https://openalex.org/W3171520305","https://openalex.org/W3135126032","https://openalex.org/W1924178503","https://openalex.org/W4308716060","https://openalex.org/W4280648719","https://openalex.org/W4394984040","https://openalex.org/W2889302474"],"abstract_inverted_index":{"MicroRNAs":[0],"(miRNAs)":[1],"are":[2,50],"endogenous":[3],"small":[4],"noncoding":[5],"RNAs":[6],"that":[7,44],"play":[8],"an":[9],"important":[10],"role":[11],"in":[12,40,45,70,109],"post-transcriptional":[13],"gene":[14],"regulation.":[15],"Several":[16],"machine":[17,76],"learning-based":[18],"studies":[19],"have":[20,73],"been":[21],"conducted":[22],"for":[23,122],"miRNA":[24,30],"identification":[25],"with":[26,114,118],"the":[27,54,110,123],"use":[28],"of":[29],"features.":[31,90],"It":[32],"is":[33,60,93],"difficult":[34],"to":[35],"classify":[36],"real":[37,64],"and":[38,65,88,95,101],"pseudo-pre-miRNAs":[39],"plant":[41,48],"species":[42],"than":[43,53],"animals":[46],"since":[47],"pre-miRNAs":[49],"more":[51],"diverse":[52],"animal":[55],"pre-miRNAs.":[56],"Therefore,":[57],"this":[58],"study":[59],"focused":[61],"on":[62,80],"classifying":[63],"pseudo":[66],"precursor":[67],"miRNAs":[68],"(pre-miRNAs)":[69],"plants.":[71],"We":[72],"introduced":[74],"a":[75,81,119],"learning":[77],"model":[78],"based":[79],"280":[82,116],"feature":[83,99],"set":[84],"including":[85],"compositional,":[86],"sequence-based,":[87],"thermodynamic":[89],"Classification":[91],"performance":[92,113],"tested":[94],"compared,":[96],"considering":[97],"different":[98,103],"sets":[100],"four":[102],"classifiers.":[104],"Random":[105],"forest":[106],"classifier":[107],"results":[108],"best":[111],"classification":[112],"all":[115],"features":[117],"97%":[120],"accuracy":[121],"testing":[124],"dataset.":[125]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
