{"id":"https://openalex.org/W2266484707","doi":"https://doi.org/10.1109/icmlc.2015.7340613","title":"The power study about three statistics of alignment-free comparison based on AT-RICH model","display_name":"The power study about three statistics of alignment-free comparison based on AT-RICH model","publication_year":2015,"publication_date":"2015-07-01","ids":{"openalex":"https://openalex.org/W2266484707","doi":"https://doi.org/10.1109/icmlc.2015.7340613","mag":"2266484707"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc.2015.7340613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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/A5097564347","display_name":"Xue-Meiliu","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xue-Meiliu","raw_affiliation_strings":["Department of Physics, South China University of Technology, Guangzhou510641, China"],"affiliations":[{"raw_affiliation_string":"Department of Physics, South China University of Technology, Guangzhou510641, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097538300","display_name":"Rui-Binhe","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui-Binhe","raw_affiliation_strings":["Department of Physics, South China University of Technology, Guangzhou510641, China"],"affiliations":[{"raw_affiliation_string":"Department of Physics, South China University of Technology, Guangzhou510641, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097538301","display_name":"Bo-Dongliu","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo-Dongliu","raw_affiliation_strings":["Department of Physics, South China University of Technology, Guangzhou510641, China"],"affiliations":[{"raw_affiliation_string":"Department of Physics, South China University of Technology, Guangzhou510641, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097538302","display_name":"Xiangzang","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangzang","raw_affiliation_strings":["Department of Physics, South China University of Technology, Guangzhou510641, China"],"affiliations":[{"raw_affiliation_string":"Department of Physics, South China University of Technology, Guangzhou510641, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5097564348","display_name":"Yu-Xiazhang","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Xiazhang","raw_affiliation_strings":["Department of Physics, South China University of Technology, Guangzhou510641, China"],"affiliations":[{"raw_affiliation_string":"Department of Physics, South China University of Technology, Guangzhou510641, China","institution_ids":["https://openalex.org/I90610280"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5097538303","display_name":"Wen-Yaoliang","orcid":null},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Yaoliang","raw_affiliation_strings":["Department of Physics, South China University of Technology, Guangzhou510641, China"],"affiliations":[{"raw_affiliation_string":"Department of Physics, South China University of Technology, Guangzhou510641, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5097564347"],"corresponding_institution_ids":["https://openalex.org/I90610280"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08842126,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"550","last_page":"553"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9979000091552734,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9979000091552734,"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/T10015","display_name":"Genomics and Phylogenetic Studies","score":0.9965000152587891,"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":0.9890000224113464,"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/tuple","display_name":"Tuple","score":0.7945013046264648},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5870732069015503},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.527962327003479},{"id":"https://openalex.org/keywords/null","display_name":"Null (SQL)","score":0.46862438321113586},{"id":"https://openalex.org/keywords/null-model","display_name":"Null model","score":0.4254380762577057},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41661885380744934},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4144919216632843},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.414402574300766},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3872010111808777},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35630643367767334},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3406651020050049},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.33150532841682434},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.3050518035888672},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2130241096019745}],"concepts":[{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.7945013046264648},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5870732069015503},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.527962327003479},{"id":"https://openalex.org/C203763787","wikidata":"https://www.wikidata.org/wiki/Q371029","display_name":"Null (SQL)","level":2,"score":0.46862438321113586},{"id":"https://openalex.org/C36382193","wikidata":"https://www.wikidata.org/wiki/Q7068966","display_name":"Null model","level":2,"score":0.4254380762577057},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41661885380744934},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4144919216632843},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.414402574300766},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3872010111808777},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35630643367767334},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3406651020050049},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.33150532841682434},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.3050518035888672},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2130241096019745},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc.2015.7340613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc.2015.7340613","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 International Conference on Machine Learning and Cybernetics (ICMLC)","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":2,"referenced_works":["https://openalex.org/W2015292449","https://openalex.org/W2087064593"],"related_works":["https://openalex.org/W2378195143","https://openalex.org/W2785512550","https://openalex.org/W2261099484","https://openalex.org/W2590847585","https://openalex.org/W4288633237","https://openalex.org/W2026080208","https://openalex.org/W1535743328","https://openalex.org/W4283071360","https://openalex.org/W1991717786","https://openalex.org/W4287997957"],"abstract_inverted_index":{"Similarity":[0],"comparison":[1],"between":[2],"two":[3,30,84,121],"biological":[4],"sequences":[5,38,44,86,102,111,122],"is":[6,53,151,157],"one":[7],"of":[8,113,120,135,204,217,220],"the":[9,24,29,36,46,79,96,109,117,133,136,142,163,182,187,196,202,215,218,221,228],"main":[10],"problems":[11],"in":[12,28],"computational":[13],"biology":[14],"research.":[15],"A":[16],"powerful":[17],"statistical":[18],"method":[19],"D2":[20,156],"which":[21,52],"depends":[22],"on":[23,78,208],"joint":[25],"k-tuples":[26],"content":[27],"sequences,":[31,98],"has":[32,123],"been":[33,50,124],"applied":[34],"to":[35,211],"alignment-free":[37,119,206],"comparison.":[39],"Two":[40],"mutually":[41],"independent":[42],"random":[43],"under":[45,167,195],"null":[47,80],"model":[48],"have":[49],"produced,":[51],"composed":[54],"by":[55,90,99,126,185],"AT-rich":[56],"(P":[57],"<inf":[58,62,67,71],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[59,63,68,72],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">a</inf>":[60],"=P":[61,70],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">t</inf>":[64],"=0.33,":[65],"P":[66],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">c</inf>":[69],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">g</inf>":[73],"=0.17)":[74],"distribution,":[75],"and":[76,104,116,155,174,177,193,224],"based":[77,207],"model,":[81],"we":[82,139],"got":[83],"foreground":[85,97],"with":[87,190,214],"Bernoulli":[88,171],"variables":[89],"a":[91],"pattern":[92],"transfer":[93],"model.":[94],"For":[95],"comparing":[100,186],"local":[101,110,118,189,205],"pairs":[103,112],"then":[105,131],"summing":[106],"over":[107],"all":[108],"certain":[114],"length,":[115],"tested":[125],"statistics":[127],"D2,":[128],"D2star,":[129,192],"D2shepp,":[130,154],"from":[132],"power":[134,164,203],"three":[137],"statistics,":[138],"can":[140],"find":[141],"optimal":[143],"parameters.":[144],"The":[145],"simulation":[146],"results":[147],"show":[148],"that":[149,201],"D2star":[150,209],"better":[152],"than":[153,227],"relatively":[158],"weak.":[159],"We":[160],"also":[161],"analyze":[162],"value":[165],"distribution":[166],"different":[168],"parameters,":[169,198],"including":[170],"variable":[172],"g":[173],"tuple":[175],"sizek":[176],"type":[178],"I":[179],"Error.":[180],"At":[181],"same":[183,197],"time":[184],"proposed":[188],"globalalignment-freeabout":[191],"D2shepp":[194],"it":[199],"showed":[200],"tends":[210],"1":[212],"quickly":[213],"increase":[216],"length":[219],"sequence,":[222],"faster":[223],"more":[225],"accurate":[226],"global":[229],"alignment.":[230]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
