{"id":"https://openalex.org/W2073103675","doi":"https://doi.org/10.1145/2500863.2500868","title":"A fast and scalable clustering-based approach for constructing reliable radiation hybrid maps","display_name":"A fast and scalable clustering-based approach for constructing reliable radiation hybrid maps","publication_year":2013,"publication_date":"2013-08-01","ids":{"openalex":"https://openalex.org/W2073103675","doi":"https://doi.org/10.1145/2500863.2500868","mag":"2073103675"},"language":"en","primary_location":{"id":"doi:10.1145/2500863.2500868","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2500863.2500868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Workshop on Data Mining in Bioinformatics","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/A5064554196","display_name":"Raed Seetan","orcid":"https://orcid.org/0000-0002-5044-7826"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Raed I. Seetan","raw_affiliation_strings":["North Dakota State University, Fargo, ND"],"affiliations":[{"raw_affiliation_string":"North Dakota State University, Fargo, ND","institution_ids":["https://openalex.org/I57328836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101833040","display_name":"Ajay Kumar","orcid":"https://orcid.org/0000-0002-5410-0694"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ajay Kumar","raw_affiliation_strings":["North Dakota State University, Fargo, ND"],"affiliations":[{"raw_affiliation_string":"North Dakota State University, Fargo, ND","institution_ids":["https://openalex.org/I57328836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041754762","display_name":"Anne Denton","orcid":"https://orcid.org/0000-0002-2135-9501"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anne M. Denton","raw_affiliation_strings":["North Dakota State University, Fargo, ND"],"affiliations":[{"raw_affiliation_string":"North Dakota State University, Fargo, ND","institution_ids":["https://openalex.org/I57328836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101668449","display_name":"Muhammad Javed Iqbal","orcid":"https://orcid.org/0000-0002-2035-4004"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Javed Iqbal","raw_affiliation_strings":["North Dakota State University, Fargo, ND"],"affiliations":[{"raw_affiliation_string":"North Dakota State University, Fargo, ND","institution_ids":["https://openalex.org/I57328836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082969875","display_name":"Omar Al-Azzam","orcid":"https://orcid.org/0009-0000-4460-5608"},"institutions":[{"id":"https://openalex.org/I4210159608","display_name":"University of Minnesota Crookston","ror":"https://ror.org/04w6xt508","country_code":"US","type":"education","lineage":["https://openalex.org/I4210159608"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Omar Al-Azzam","raw_affiliation_strings":["University of Minnesota, Crookston, MN"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Crookston, MN","institution_ids":["https://openalex.org/I4210159608"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031755661","display_name":"Shahryar F. Kianian","orcid":"https://orcid.org/0000-0003-4968-3140"},"institutions":[{"id":"https://openalex.org/I57328836","display_name":"North Dakota State University","ror":"https://ror.org/05h1bnb22","country_code":"US","type":"education","lineage":["https://openalex.org/I57328836"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shahryar F. Kianian","raw_affiliation_strings":["North Dakota State University, Fargo, ND"],"affiliations":[{"raw_affiliation_string":"North Dakota State University, Fargo, ND","institution_ids":["https://openalex.org/I57328836"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5064554196"],"corresponding_institution_ids":["https://openalex.org/I57328836"],"apc_list":null,"apc_paid":null,"fwci":0.909,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78050958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"34","last_page":"41"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11468","display_name":"Genetic Mapping and Diversity in Plants and Animals","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T10434","display_name":"Chromosomal and Genetic Variations","score":0.9986000061035156,"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"}},{"id":"https://openalex.org/T10222","display_name":"Genomics and Chromatin Dynamics","score":0.9972000122070312,"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":0.7020145654678345},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6992442011833191},{"id":"https://openalex.org/keywords/divide-and-conquer-algorithms","display_name":"Divide and conquer algorithms","score":0.5346167683601379},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5074319243431091},{"id":"https://openalex.org/keywords/computational-complexity-theory","display_name":"Computational complexity theory","score":0.4981954097747803},{"id":"https://openalex.org/keywords/chromosome","display_name":"Chromosome","score":0.42988812923431396},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4175725281238556},{"id":"https://openalex.org/keywords/radiation-hybrid-mapping","display_name":"Radiation hybrid mapping","score":0.41251489520072937},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3058184087276459},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2506583333015442},{"id":"https://openalex.org/keywords/gene-mapping","display_name":"Gene mapping","score":0.14290347695350647}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7020145654678345},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6992442011833191},{"id":"https://openalex.org/C71559656","wikidata":"https://www.wikidata.org/wiki/Q671298","display_name":"Divide and conquer algorithms","level":2,"score":0.5346167683601379},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5074319243431091},{"id":"https://openalex.org/C179799912","wikidata":"https://www.wikidata.org/wiki/Q205084","display_name":"Computational complexity theory","level":2,"score":0.4981954097747803},{"id":"https://openalex.org/C30481170","wikidata":"https://www.wikidata.org/wiki/Q37748","display_name":"Chromosome","level":3,"score":0.42988812923431396},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4175725281238556},{"id":"https://openalex.org/C2777714445","wikidata":"https://www.wikidata.org/wiki/Q7280351","display_name":"Radiation hybrid mapping","level":5,"score":0.41251489520072937},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3058184087276459},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2506583333015442},{"id":"https://openalex.org/C122735190","wikidata":"https://www.wikidata.org/wiki/Q715789","display_name":"Gene mapping","level":4,"score":0.14290347695350647},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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:10.1145/2500863.2500868","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2500863.2500868","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 12th International Workshop on Data Mining in Bioinformatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8279050322","display_name":null,"funder_award_id":"IOS-0822100","funder_id":"https://openalex.org/F4320337399","funder_display_name":"Division of Integrative Organismal Systems"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337399","display_name":"Division of Integrative Organismal Systems","ror":"https://ror.org/01rvays47"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W96717503","https://openalex.org/W2041296030","https://openalex.org/W2047507542","https://openalex.org/W2064936831","https://openalex.org/W2069179738","https://openalex.org/W2070855313","https://openalex.org/W2156564520","https://openalex.org/W2159793238","https://openalex.org/W2164031281","https://openalex.org/W2533163481","https://openalex.org/W2668407634","https://openalex.org/W3022371179","https://openalex.org/W4237422512"],"related_works":["https://openalex.org/W2352794675","https://openalex.org/W1539994214","https://openalex.org/W2051228988","https://openalex.org/W4247094814","https://openalex.org/W108531593","https://openalex.org/W2111712077","https://openalex.org/W8810113","https://openalex.org/W2158636562","https://openalex.org/W2162911572","https://openalex.org/W1975372315"],"abstract_inverted_index":{"The":[0],"process":[1],"of":[2,39,64,73,132],"mapping":[3,8,60,88],"markers":[4,33,55,70],"from":[5,141],"radiation":[6],"hybrid":[7],"(RHM)":[9],"experiments":[10,27],"is":[11],"equivalent":[12],"to":[13,101,122],"the":[14,36,40,57,61,74,86,92,124,133,138,151,176],"traveling":[15],"salesman":[16],"problem":[17],"and,":[18],"thereby,":[19],"has":[20,79,157],"combinatorial":[21],"complexity.":[22],"As":[23],"an":[24,80,128],"additional":[25],"problem,":[26],"typically":[28],"result":[29],"in":[30],"some":[31],"unreliable":[32,54,110],"that":[34,108],"reduce":[35],"overall":[37],"quality":[38],"map.":[41,126],"We":[42],"propose":[43],"a":[44,96,158],"clustering":[45],"approach":[46,94,156],"for":[47,59,68],"addressing":[48],"both":[49],"problems":[50],"efficiently":[51],"by":[52],"eliminating":[53,69],"without":[56],"need":[58],"complete":[62,125],"set":[63,131],"markers.":[65,111],"Traditional":[66],"approaches":[67,144],"use":[71],"resampling":[72],"full":[75],"data":[76,130],"set,":[77],"which":[78],"even":[81],"higher":[82],"computational":[83,161],"complexity":[84,162],"than":[85],"original":[87],"problem.":[89],"In":[90],"contrast,":[91],"proposed":[93,143],"uses":[95],"divide":[97],"and":[98,118,149,163,172],"conquer":[99],"strategy":[100],"construct":[102],"framework":[103,139,166],"maps":[104,140,148,167],"based":[105],"on":[106],"clusters":[107],"exclude":[109],"Clusters":[112],"are":[113,119],"ordered":[114],"using":[115],"parallel":[116],"processing":[117],"then":[120],"combined":[121],"form":[123],"Using":[127],"RHM":[129],"human":[134],"genome,":[135],"we":[136],"compare":[137],"our":[142,155],"with":[145,150,168,175],"published":[146],"physical":[147,177],"Carthagene":[152],"tool.":[153],"Overall,":[154],"very":[159],"low":[160],"produces":[164],"solid":[165],"good":[169],"chromosome":[170],"coverage":[171],"high":[173],"agreement":[174],"map":[178],"marker":[179],"order.":[180]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}