{"id":"https://openalex.org/W4386749297","doi":"https://doi.org/10.1137/21m1449269","title":"Parameterized Complexity for Finding a Perfect Phylogeny from Mixed Tumor Samples","display_name":"Parameterized Complexity for Finding a Perfect Phylogeny from Mixed Tumor Samples","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4386749297","doi":"https://doi.org/10.1137/21m1449269"},"language":"en","primary_location":{"id":"doi:10.1137/21m1449269","is_oa":false,"landing_page_url":"https://doi.org/10.1137/21m1449269","pdf_url":null,"source":{"id":"https://openalex.org/S117679221","display_name":"SIAM Journal on Discrete Mathematics","issn_l":"0895-4801","issn":["0895-4801","1095-7146"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Discrete Mathematics","raw_type":"journal-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/A5092873257","display_name":"Wen-Horng Sheu","orcid":"https://orcid.org/0000-0002-2707-8612"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Wen-Horng Sheu","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan 30013, Republic of China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan 30013, Republic of China","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001316179","display_name":"Biing-Feng Wang","orcid":"https://orcid.org/0000-0002-8109-1914"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Biing-Feng Wang","raw_affiliation_strings":["Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan 30013, Republic of China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, National Tsing Hua University, Hsinchu, Taiwan 30013, Republic of China","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5092873257"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":0.3491,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6554231,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"37","issue":"3","first_page":"2049","last_page":"2071"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11269","display_name":"Algorithms and Data Compression","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13664","display_name":"Genome Rearrangement Algorithms","score":0.9969000220298767,"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/T11213","display_name":"Genomic variations and chromosomal abnormalities","score":0.9943000078201294,"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/parameterized-complexity","display_name":"Parameterized complexity","score":0.8738162517547607},{"id":"https://openalex.org/keywords/row","display_name":"Row","score":0.7066255807876587},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6979403495788574},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.5510271191596985},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5193594694137573},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5036517977714539},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.4984898567199707},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4954031705856323},{"id":"https://openalex.org/keywords/discrete-mathematics","display_name":"Discrete mathematics","score":0.4593612849712372},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.449253648519516},{"id":"https://openalex.org/keywords/row-and-column-spaces","display_name":"Row and column spaces","score":0.4382960796356201},{"id":"https://openalex.org/keywords/approximation-algorithm","display_name":"Approximation algorithm","score":0.42229896783828735},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.18958601355552673},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.06690764427185059}],"concepts":[{"id":"https://openalex.org/C165464430","wikidata":"https://www.wikidata.org/wiki/Q1570441","display_name":"Parameterized complexity","level":2,"score":0.8738162517547607},{"id":"https://openalex.org/C135598885","wikidata":"https://www.wikidata.org/wiki/Q1366302","display_name":"Row","level":2,"score":0.7066255807876587},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6979403495788574},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.5510271191596985},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5193594694137573},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5036517977714539},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.4984898567199707},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4954031705856323},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.4593612849712372},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.449253648519516},{"id":"https://openalex.org/C104140500","wikidata":"https://www.wikidata.org/wiki/Q2088159","display_name":"Row and column spaces","level":3,"score":0.4382960796356201},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.42229896783828735},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.18958601355552673},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.06690764427185059},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1137/21m1449269","is_oa":false,"landing_page_url":"https://doi.org/10.1137/21m1449269","pdf_url":null,"source":{"id":"https://openalex.org/S117679221","display_name":"SIAM Journal on Discrete Mathematics","issn_l":"0895-4801","issn":["0895-4801","1095-7146"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320508","host_organization_name":"Society for Industrial and Applied Mathematics","host_organization_lineage":["https://openalex.org/P4310320508"],"host_organization_lineage_names":["Society for Industrial and Applied Mathematics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIAM Journal on Discrete Mathematics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G6254018251","display_name":null,"funder_award_id":"MOST-109-2221-E-007-080-MY3","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W160062585","https://openalex.org/W938539187","https://openalex.org/W1986888627","https://openalex.org/W2002295829","https://openalex.org/W2074507113","https://openalex.org/W2075495614","https://openalex.org/W2109991075","https://openalex.org/W2110920860","https://openalex.org/W2112997276","https://openalex.org/W2114095872","https://openalex.org/W2122392334","https://openalex.org/W2144847592","https://openalex.org/W2155316689","https://openalex.org/W2157751858","https://openalex.org/W2166815431","https://openalex.org/W2168156874","https://openalex.org/W2785754681","https://openalex.org/W2887247095","https://openalex.org/W2913688336","https://openalex.org/W2914414140","https://openalex.org/W2962973261","https://openalex.org/W2992605988","https://openalex.org/W3123103866","https://openalex.org/W4246219036"],"related_works":["https://openalex.org/W2313440505","https://openalex.org/W3123744736","https://openalex.org/W1505848319","https://openalex.org/W2137691148","https://openalex.org/W2905020035","https://openalex.org/W4281399881","https://openalex.org/W3166006430","https://openalex.org/W4281971614","https://openalex.org/W2049180840","https://openalex.org/W3121299875"],"abstract_inverted_index":{"Motivated":[0],"by":[1,46,156],"an":[2,31,140],"application":[3],"in":[4,18,160,226],"cancer":[5],"genomics,":[6],"Hajirasouliha":[7],"and":[8,90,111,115,216],"Raphael":[9],"[Proceedings":[10],"of":[11,57,63,77,109,121,174,188],"the":[12,24,58,61,91,107,133,161,170,191,219,224],"14th":[13],"International":[14],"Workshop":[15],"on":[16,39],"Algorithms":[17],"Bioinformatics,":[19],"2014,":[20],"pp.":[21],"354\u2013367]":[22],"proposed":[23],"split-row":[25,37,78,193],"problem":[26,194],"(SR).":[27],"In":[28,158,206],"this":[29,202],"problem,":[30],"binary":[32],"matrix":[33,84],"is":[34,40,51,60,72,94,151],"given.":[35],"A":[36],"operation":[38,59],"defined":[41],"as":[42,125,204],"replacing":[43],"a":[44,75,83,87,126,186,227],"row":[45],"rows":[47,65,225],"whose":[48],"bitwise":[49],"OR":[50],"equal":[52],"to":[53,73,86,184,201,213,232],".":[54,69,157,175],"The":[55,70,118],"cost":[56,93],"number":[62],"additional":[64,221],"induced,":[66],"that":[67,80,149],"is,":[68],"goal":[71],"find":[74],"sequence":[76],"operations":[79],"transforms":[81],"into":[82],"corresponding":[85],"perfect":[88],"phylogeny":[89],"total":[92,135],"minimized.":[95],"Recently,":[96],"Hujdurovi\u0107":[97,176],"et":[98,177],"al.":[99],"[ACM":[100],"Trans.":[101],"Algorithms,":[102],"14":[103],"(2018),":[104],"26]":[105],"proved":[106],"APX-hardness":[108],"SR":[110,122,150,215],"presented":[112],"efficient":[113],"exact":[114,142,179],"approximation":[116],"algorithms.":[117],"parameterized":[119,155],"study":[120],"was":[123],"left":[124],"direction":[127],"for":[128,144],"future":[129],"work.":[130],"Let":[131],"denote":[132],"minimum":[134],"cost.":[136],"This":[137,146],"paper":[138],"gives":[139],"-time":[141],"algorithm":[143,165,180,197],"SR.":[145],"result":[147],"indicates":[148],"fixed-parameter":[152],"tractable":[153],"when":[154],"addition,":[159,207],"worst":[162],"case,":[163],"our":[164,208],"requires":[166],"time,":[167],"significantly":[168],"improving":[169],"previous":[171],"upper":[172],"bound":[173],"al.\u2019s":[178],"can":[181,198,210],"be":[182,199,211,233],"modified":[183],"solve":[185,214],"variant":[187,203],"SR,":[189],"called":[190],"distinct":[192],"(DSR).":[195],"Our":[196],"adapted":[200],"well.":[205],"algorithms":[209],"extended":[212],"DSR":[217],"with":[218],"following":[220],"constraint:":[222],"only":[223],"given":[228],"subset":[229],"are":[230],"allowed":[231],"split.":[234]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
