{"id":"https://openalex.org/W3015327435","doi":"https://doi.org/10.1109/icassp40776.2020.9053662","title":"Lai-Net: Local-Ancestry Inference with Neural Networks","display_name":"Lai-Net: Local-Ancestry Inference with Neural Networks","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015327435","doi":"https://doi.org/10.1109/icassp40776.2020.9053662","mag":"3015327435"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2004.10377","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081614352","display_name":"Daniel Mas Montserrat","orcid":"https://orcid.org/0000-0002-7946-7724"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Daniel Mas Montserrat","raw_affiliation_strings":["Purdue University"],"affiliations":[{"raw_affiliation_string":"Purdue University","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025246130","display_name":"Carlos D. Bustamante","orcid":"https://orcid.org/0000-0002-4187-7920"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlos Bustamante","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010394714","display_name":"Alexander Ioannidis","orcid":null},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexander Ioannidis","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081614352"],"corresponding_institution_ids":["https://openalex.org/I219193219"],"apc_list":null,"apc_paid":null,"fwci":1.8355,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.8563381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1314","last_page":"1318"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9955999851226807,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9955999851226807,"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/T10515","display_name":"Cancer-related molecular mechanisms research","score":0.9890999794006348,"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/T10261","display_name":"Genetic Associations and Epidemiology","score":0.988099992275238,"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/inference","display_name":"Inference","score":0.7953765392303467},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6611428260803223},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6074696779251099},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5526750683784485},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5149974822998047},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5089480876922607},{"id":"https://openalex.org/keywords/deconvolution","display_name":"Deconvolution","score":0.4205998182296753},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.41060465574264526},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3826919198036194},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.23570919036865234},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1752033233642578},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.11204296350479126},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.10920315980911255}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.7953765392303467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6611428260803223},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6074696779251099},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5526750683784485},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5149974822998047},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5089480876922607},{"id":"https://openalex.org/C174576160","wikidata":"https://www.wikidata.org/wiki/Q1183700","display_name":"Deconvolution","level":2,"score":0.4205998182296753},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.41060465574264526},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3826919198036194},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.23570919036865234},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1752033233642578},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.11204296350479126},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.10920315980911255},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053662","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2004.10377","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.10377","pdf_url":"https://arxiv.org/pdf/2004.10377","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2004.10377","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2004.10377","pdf_url":"https://arxiv.org/pdf/2004.10377","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2037323619","https://openalex.org/W2061539393","https://openalex.org/W2064902628","https://openalex.org/W2082043949","https://openalex.org/W2087437533","https://openalex.org/W2096303238","https://openalex.org/W2102714321","https://openalex.org/W2104549677","https://openalex.org/W2106400350","https://openalex.org/W2127757090","https://openalex.org/W2128371599","https://openalex.org/W2138345444","https://openalex.org/W2157535960","https://openalex.org/W2543901919","https://openalex.org/W2764167548","https://openalex.org/W2803000543","https://openalex.org/W2900954917","https://openalex.org/W2919115771","https://openalex.org/W2935703330","https://openalex.org/W2990741969","https://openalex.org/W3105282616"],"related_works":["https://openalex.org/W3090782779","https://openalex.org/W4251527294","https://openalex.org/W4250106855","https://openalex.org/W2037261263","https://openalex.org/W3149087629","https://openalex.org/W4231036715","https://openalex.org/W2032074591","https://openalex.org/W1986156575","https://openalex.org/W2751689993","https://openalex.org/W1966302070"],"abstract_inverted_index":{"Local-ancestry":[0],"inference":[1,59],"(LAI),":[2],"also":[3],"referred":[4],"to":[5,41,51,58,123],"as":[6,25,82],"ancestry":[7,11],"deconvolution,":[8],"provides":[9],"high-resolution":[10],"estimation":[12],"along":[13],"the":[14,87,106],"human":[15,61],"genome.":[16],"In":[17,101],"both":[18],"research":[19],"and":[20,46,55,96,99,121],"industry,":[21],"LAI":[22,66,111],"is":[23],"emerging":[24],"a":[26,130],"critical":[27],"step":[28],"in":[29,44,49,72],"DNA":[30],"sequence":[31],"analysis":[32],"with":[33,77,118],"applications":[34],"extending":[35],"from":[36,56],"polygenic":[37],"risk":[38,48],"scores":[39],"(used":[40],"predict":[42],"traits":[43],"embryos":[45],"disease":[47],"adults)":[50],"genome-wide":[52],"association":[53],"studies,":[54],"pharmacogenomics":[57],"of":[60,89,133],"population":[62],"history.":[63],"While":[64],"many":[65],"methods":[67,91,120],"have":[68],"been":[69],"developed,":[70],"advances":[71],"computing":[73],"hardware":[74],"(GPUs)":[75],"combined":[76],"machine":[78],"learning":[79],"techniques,":[80],"such":[81],"neural":[83,108],"networks,":[84],"are":[85,93],"enabling":[86],"development":[88],"new":[90],"that":[92],"fast,":[94],"robust":[95],"easily":[97],"shared":[98],"stored.":[100],"this":[102],"paper":[103],"we":[104],"develop":[105],"first":[107],"network":[109],"based":[110],"method,":[112],"named":[113],"LAI-Net,":[114],"providing":[115],"competitive":[116],"accuracy":[117],"state-of-the-art":[119],"robustness":[122],"missing":[124],"or":[125],"noisy":[126],"data,":[127],"while":[128],"having":[129],"small":[131],"number":[132],"layers.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-28T08:17:26.163206","created_date":"2025-10-10T00:00:00"}
