{"id":"https://openalex.org/W1559893426","doi":"https://doi.org/10.1109/retis.2015.7232869","title":"A species clustering method based on variation of molecular data with the aid of variance proportion","display_name":"A species clustering method based on variation of molecular data with the aid of variance proportion","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W1559893426","doi":"https://doi.org/10.1109/retis.2015.7232869","mag":"1559893426"},"language":"en","primary_location":{"id":"doi:10.1109/retis.2015.7232869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/retis.2015.7232869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS)","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/A5076163050","display_name":"Abolfazl Ghavidel","orcid":null},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Abolfazl Ghavidel","raw_affiliation_strings":["Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","Dept of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]},{"raw_affiliation_string":"Dept of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108589726","display_name":"Amin Rezaeian","orcid":null},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Amin Rezaeian","raw_affiliation_strings":["Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","Dept of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]},{"raw_affiliation_string":"Dept of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100860810","display_name":"Mohammadreza Rezaee","orcid":null},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mohammadreza Rezaee","raw_affiliation_strings":["Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","Dept of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]},{"raw_affiliation_string":"Dept of Computer Engineering, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.02251129,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"4","issue":null,"first_page":"151","last_page":"156"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9994000196456909,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9994000196456909,"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/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9958000183105469,"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/T10012","display_name":"Genetic diversity and population structure","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/phylogenetic-tree","display_name":"Phylogenetic tree","score":0.6701191663742065},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.629680335521698},{"id":"https://openalex.org/keywords/distance-matrix","display_name":"Distance matrix","score":0.6049038767814636},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5682089924812317},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5460214614868164},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5154305696487427},{"id":"https://openalex.org/keywords/distance-matrices-in-phylogeny","display_name":"Distance matrices in phylogeny","score":0.4813043177127838},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4744381010532379},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4553722143173218},{"id":"https://openalex.org/keywords/character","display_name":"Character (mathematics)","score":0.4376401901245117},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.43366384506225586},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.429697185754776},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4198804795742035},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3500567674636841},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3002778887748718},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.260991632938385},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.15989801287651062},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.14872846007347107}],"concepts":[{"id":"https://openalex.org/C193252679","wikidata":"https://www.wikidata.org/wiki/Q242125","display_name":"Phylogenetic tree","level":3,"score":0.6701191663742065},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.629680335521698},{"id":"https://openalex.org/C111208986","wikidata":"https://www.wikidata.org/wiki/Q901698","display_name":"Distance matrix","level":2,"score":0.6049038767814636},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5682089924812317},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5460214614868164},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5154305696487427},{"id":"https://openalex.org/C5349765","wikidata":"https://www.wikidata.org/wiki/Q5282866","display_name":"Distance matrices in phylogeny","level":2,"score":0.4813043177127838},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4744381010532379},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4553722143173218},{"id":"https://openalex.org/C2780861071","wikidata":"https://www.wikidata.org/wiki/Q1062934","display_name":"Character (mathematics)","level":2,"score":0.4376401901245117},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.43366384506225586},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.429697185754776},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4198804795742035},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3500567674636841},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3002778887748718},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.260991632938385},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15989801287651062},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.14872846007347107},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/retis.2015.7232869","is_oa":false,"landing_page_url":"https://doi.org/10.1109/retis.2015.7232869","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS)","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":18,"referenced_works":["https://openalex.org/W1414945947","https://openalex.org/W1978173716","https://openalex.org/W1979443454","https://openalex.org/W1980283473","https://openalex.org/W2007219675","https://openalex.org/W2040191809","https://openalex.org/W2047401539","https://openalex.org/W2067583709","https://openalex.org/W2097706568","https://openalex.org/W2119284380","https://openalex.org/W2127012419","https://openalex.org/W2129816388","https://openalex.org/W2132632499","https://openalex.org/W2145853890","https://openalex.org/W2229908198","https://openalex.org/W4254268221","https://openalex.org/W6674647444","https://openalex.org/W6689475862"],"related_works":["https://openalex.org/W2001076853","https://openalex.org/W1872375678","https://openalex.org/W4387171312","https://openalex.org/W4388316203","https://openalex.org/W2362218761","https://openalex.org/W4206923957","https://openalex.org/W4235784610","https://openalex.org/W2113708670","https://openalex.org/W2062354928","https://openalex.org/W4236196889"],"abstract_inverted_index":{"In":[0,44,60,113,140],"order":[1],"to":[2,35,54,71,81,126,137,149,208,223],"infer":[3],"evolutionary":[4],"relationships":[5],"as":[6,8,22,204,219],"well":[7],"reconstruct":[9],"phylogenetic":[10,185,225],"trees,":[11],"evolutionists":[12],"often":[13],"employ":[14],"two":[15],"general":[16],"approaches:":[17],"character-based":[18],"and":[19,213],"distance-based.":[20],"Inasmuch":[21],"character":[23],"based":[24,48,119,227],"methods":[25,39,49],"could":[26,201,216],"be":[27,138,175,202],"inordinately":[28],"expensive":[29],"in":[30,104,132,195,199],"computational":[31],"process,":[32],"researchers":[33],"have":[34,78],"use":[36,144],"some":[37,178],"estimation":[38],"with":[40,167],"practical":[41],"run":[42],"time.":[43],"this":[45,114,141],"context,":[46],"distance":[47,58,85,98],"are":[50,92,135,188,233],"exceedingly":[51],"quicker":[52],"due":[53],"the":[55,83,105,151,171,190],"utilizing":[56],"of":[57,66,107,110,147,153,158,189,197,211,237],"matrices.":[59],"Computational":[61],"Biology,":[62],"sequence":[63],"comparison":[64],"is":[65,124],"fundamental":[67],"importance":[68],"which":[69],"tries":[70],"find":[72],"similar":[73],"sequences.":[74,239],"Many":[75],"different":[76],"techniques":[77],"been":[79],"developed":[80],"calculate":[82],"right":[84],"measure":[86],"among":[87],"DNA":[88,212],"sequences,":[89],"however,":[90],"they":[91,101],"almost":[93],"only":[94],"used":[95,203],"for":[96],"making":[97],"matrix;":[99],"additionally,":[100],"usually":[102],"work":[103],"absence":[106],"using":[108],"models":[109],"evolution":[111],"too.":[112],"paper,":[115],"a":[116,133,159,184,205,220,234],"novel":[117],"technique,":[118],"on":[120,228],"mathematical":[121,145],"variance":[122,148,173],"calculation,":[123],"proposed":[125],"show":[127],"how":[128],"much":[129],"gene":[130],"sequences":[131,157,166,210],"group":[134,182],"all":[136,156,165],"similar.":[139],"strategy,":[142],"we":[143],"formula":[146],"acquire":[150],"average":[152],"differences":[154],"amongst":[155],"specific":[160],"set":[161],"(called":[162],"cluster).":[163],"Eventually,":[164],"variation":[168],"lower":[169],"than":[170],"predefined":[172],"will":[174],"clustered":[176],"into":[177],"groups":[179],"while":[180],"each":[181],"contains":[183],"tree.":[186],"We":[187],"idea":[191],"that":[192],"our":[193],"method,":[194],"spite":[196],"simplicity":[198],"design,":[200],"logical":[206],"criterion":[207],"cluster":[209],"it":[214],"also":[215],"prove":[217],"useful":[218],"simple":[221],"technique":[222],"build":[224],"networks":[226],"distance,":[229],"especially":[230],"when":[231],"there":[232],"large":[235],"number":[236],"input":[238]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
