{"id":"https://openalex.org/W4378473350","doi":"https://doi.org/10.1371/journal.pcbi.1011175","title":"Enabling interpretable machine learning for biological data with reliability scores","display_name":"Enabling interpretable machine learning for biological data with reliability scores","publication_year":2023,"publication_date":"2023-05-26","ids":{"openalex":"https://openalex.org/W4378473350","doi":"https://doi.org/10.1371/journal.pcbi.1011175","pmid":"https://pubmed.ncbi.nlm.nih.gov/37235578"},"language":"en","primary_location":{"id":"doi:10.1371/journal.pcbi.1011175","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011175","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011175&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011175&type=printable","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023549081","display_name":"K. D. Ahlquist","orcid":"https://orcid.org/0000-0001-6812-9458"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"K. D. Ahlquist","raw_affiliation_strings":["Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, United States of America","Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island, United States of America"],"raw_orcid":"https://orcid.org/0000-0001-6812-9458","affiliations":[{"raw_affiliation_string":"Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, United States of America","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":"Department of Molecular Biology, Cell Biology, and Biochemistry, Brown University, Providence, Rhode Island, United States of America","institution_ids":["https://openalex.org/I27804330"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009372230","display_name":"Lauren A. Sugden","orcid":"https://orcid.org/0000-0003-3495-8359"},"institutions":[{"id":"https://openalex.org/I165102784","display_name":"Duquesne University","ror":"https://ror.org/02336z538","country_code":"US","type":"education","lineage":["https://openalex.org/I165102784"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lauren A. Sugden","raw_affiliation_strings":["Department of Mathematics and Computer Science, Duquesne University, Pittsburgh, Pennsylvania, United States of America"],"raw_orcid":"https://orcid.org/0000-0003-3495-8359","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Duquesne University, Pittsburgh, Pennsylvania, United States of America","institution_ids":["https://openalex.org/I165102784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020442033","display_name":"Sohini Ramachandran","orcid":"https://orcid.org/0000-0002-9588-7964"},"institutions":[{"id":"https://openalex.org/I27804330","display_name":"Brown University","ror":"https://ror.org/05gq02987","country_code":"US","type":"education","lineage":["https://openalex.org/I27804330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sohini Ramachandran","raw_affiliation_strings":["Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, United States of America","Data Science Initiative, Brown University, Providence, Rhode Island, United States of America","Department of Ecology, Evolution and Organismal Biology, Brown University, Providence, Rhode Island, United States of America"],"raw_orcid":"https://orcid.org/0000-0002-9588-7964","affiliations":[{"raw_affiliation_string":"Center for Computational Molecular Biology, Brown University, Providence, Rhode Island, United States of America","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":"Data Science Initiative, Brown University, Providence, Rhode Island, United States of America","institution_ids":["https://openalex.org/I27804330"]},{"raw_affiliation_string":"Department of Ecology, Evolution and Organismal Biology, Brown University, Providence, Rhode Island, United States of America","institution_ids":["https://openalex.org/I27804330"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5009372230","https://openalex.org/A5023549081"],"corresponding_institution_ids":["https://openalex.org/I165102784","https://openalex.org/I27804330"],"apc_list":{"value":2655,"currency":"USD","value_usd":2655},"apc_paid":{"value":2655,"currency":"USD","value_usd":2655},"fwci":3.4126,"has_fulltext":true,"cited_by_count":26,"citation_normalized_percentile":{"value":0.93721167,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"19","issue":"5","first_page":"e1011175","last_page":"e1011175"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9965000152587891,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9965000152587891,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9889000058174133,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9322999715805054,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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/machine-learning","display_name":"Machine learning","score":0.7979081273078918},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7338119149208069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6798142194747925},{"id":"https://openalex.org/keywords/biological-data","display_name":"Biological data","score":0.5713571906089783},{"id":"https://openalex.org/keywords/biobank","display_name":"Biobank","score":0.5649832487106323},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5163561105728149},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4174423813819885},{"id":"https://openalex.org/keywords/bioinformatics","display_name":"Bioinformatics","score":0.1471380889415741},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.09873968362808228}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7979081273078918},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7338119149208069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6798142194747925},{"id":"https://openalex.org/C201797286","wikidata":"https://www.wikidata.org/wiki/Q4914986","display_name":"Biological data","level":2,"score":0.5713571906089783},{"id":"https://openalex.org/C116567970","wikidata":"https://www.wikidata.org/wiki/Q864217","display_name":"Biobank","level":2,"score":0.5649832487106323},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5163561105728149},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4174423813819885},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.1471380889415741},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.09873968362808228},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015203","descriptor_name":"Reproducibility of Results","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016678","descriptor_name":"Genome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016678","descriptor_name":"Genome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016678","descriptor_name":"Genome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016678","descriptor_name":"Genome","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1371/journal.pcbi.1011175","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011175","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011175&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},{"id":"pmid:37235578","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37235578","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLoS computational biology","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10249903","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10249903","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10249903/pdf/pcbi.1011175.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Comput Biol","raw_type":"Text"},{"id":"pmh:oai:RePEc:plo:pcbi00:1011175","is_oa":false,"landing_page_url":"https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1011175","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"},{"id":"pmh:oai:doaj.org/article:e64e8ab025c045458a7b1f0cbf59cd09","is_oa":true,"landing_page_url":"https://doaj.org/article/e64e8ab025c045458a7b1f0cbf59cd09","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"PLoS Computational Biology, Vol 19, Iss 5, p e1011175 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1371/journal.pcbi.1011175","is_oa":true,"landing_page_url":"https://doi.org/10.1371/journal.pcbi.1011175","pdf_url":"https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1011175&type=printable","source":{"id":"https://openalex.org/S86033158","display_name":"PLoS Computational Biology","issn_l":"1553-734X","issn":["1553-734X","1553-7358"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315706","host_organization_name":"Public Library of Science","host_organization_lineage":["https://openalex.org/P4310315706"],"host_organization_lineage_names":["Public Library of Science"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"PLOS Computational Biology","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","id":"https://metadata.un.org/sdg/2","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G1041516285","display_name":null,"funder_award_id":"R01 GM118652","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G136441228","display_name":null,"funder_award_id":"(T32 GM007601","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G1505480641","display_name":"Novel statistical methods to localize genomic elements underlying adaptive evolution","funder_award_id":"5r01gm118652-04","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G1864822777","display_name":"Novel population-genetic methods for localizing targets of natural selection in diverse human genomes","funder_award_id":"5r35gm139628-02","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G2584694508","display_name":null,"funder_award_id":"R35 GM139628","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G3822853662","display_name":"Training in Molecular and Cell Biology and Biochemistry","funder_award_id":"5t32gm007601-40","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4378473350.pdf","grobid_xml":"https://content.openalex.org/works/W4378473350.grobid-xml"},"referenced_works_count":71,"referenced_works":["https://openalex.org/W1503398984","https://openalex.org/W1964547306","https://openalex.org/W1973551391","https://openalex.org/W1980262437","https://openalex.org/W1995443851","https://openalex.org/W2009494639","https://openalex.org/W2025253353","https://openalex.org/W2025979859","https://openalex.org/W2026905436","https://openalex.org/W2065974896","https://openalex.org/W2101234009","https://openalex.org/W2103286878","https://openalex.org/W2104549677","https://openalex.org/W2111574971","https://openalex.org/W2115627867","https://openalex.org/W2126022166","https://openalex.org/W2133298050","https://openalex.org/W2136557734","https://openalex.org/W2140449543","https://openalex.org/W2140784970","https://openalex.org/W2144182447","https://openalex.org/W2152381343","https://openalex.org/W2152799443","https://openalex.org/W2156866331","https://openalex.org/W2162506329","https://openalex.org/W2476376090","https://openalex.org/W2531014594","https://openalex.org/W2748151855","https://openalex.org/W2752747624","https://openalex.org/W2767414122","https://openalex.org/W2773279226","https://openalex.org/W2786712888","https://openalex.org/W2810986024","https://openalex.org/W2867167548","https://openalex.org/W2889321024","https://openalex.org/W2898158860","https://openalex.org/W2900471700","https://openalex.org/W2915168078","https://openalex.org/W2920529430","https://openalex.org/W2932881901","https://openalex.org/W2945976633","https://openalex.org/W2949832836","https://openalex.org/W2950732129","https://openalex.org/W2950836897","https://openalex.org/W2951448613","https://openalex.org/W2963521553","https://openalex.org/W2963693742","https://openalex.org/W2975578922","https://openalex.org/W3004083863","https://openalex.org/W3008695158","https://openalex.org/W3013574460","https://openalex.org/W3032942004","https://openalex.org/W3046630804","https://openalex.org/W3102943483","https://openalex.org/W3116286104","https://openalex.org/W3119985211","https://openalex.org/W3126829124","https://openalex.org/W3132626024","https://openalex.org/W3137125108","https://openalex.org/W3138819813","https://openalex.org/W3155215330","https://openalex.org/W3162470651","https://openalex.org/W3186118520","https://openalex.org/W3197433610","https://openalex.org/W3200707343","https://openalex.org/W3211282104","https://openalex.org/W4220988604","https://openalex.org/W4226116716","https://openalex.org/W4243563432","https://openalex.org/W6675354045","https://openalex.org/W6697265569"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W3170094116","https://openalex.org/W4386159866","https://openalex.org/W4378473350"],"abstract_inverted_index":{"Machine":[0],"learning":[1,73,97,148,164,320,331],"tools":[2,276],"have":[3,37,49,196],"proven":[4],"useful":[5],"across":[6],"biological":[7,27,86,213,318,336],"disciplines,":[8],"allowing":[9],"researchers":[10,250,315],"to":[11,46,53,77,143,145,221,251,260,274,295,325],"draw":[12],"conclusions":[13],"from":[14,215],"large":[15],"datasets,":[16,214],"and":[17,25,186,189,229,233,255,259,279,282,304,335],"opening":[18],"up":[19],"new":[20,85],"opportunities":[21],"for":[22,199,277],"interpreting":[23],"complex":[24],"heterogeneous":[26],"data.":[28,237],"Alongside":[29],"the":[30,58,68,82,110,119,125,128,137,141,152,155,207,226,246,272,290,305,317,327],"rapid":[31],"growth":[32],"of":[33,57,84,127,130,136,154,192,206,212,240,292,308,329],"machine":[34,72,96,147,163,311,319,330],"learning,":[35,312],"there":[36],"also":[38,270],"been":[39,51],"growing":[40],"pains:":[41],"some":[42,200,298],"models":[43,74,98],"that":[44,60,71,99,123,174,195,284],"appear":[45],"perform":[47],"well":[48],"later":[50],"revealed":[52],"rely":[54],"on":[55,118,218],"features":[56],"data":[59,173,194,217,254,299],"are":[61,75,100,300],"artifactual":[62],"or":[63,103],"biased;":[64],"this":[65,106],"feeds":[66],"into":[67],"general":[69],"criticism":[70],"designed":[76],"optimize":[78],"model":[79],"performance":[80],"over":[81],"creation":[83],"insights.":[87],"A":[88],"natural":[89],"question":[90],"arises:":[91],"how":[92,245],"do":[93],"we":[94,108,243],"develop":[95],"inherently":[101],"interpretable":[102,309],"explainable?":[104],"In":[105],"manuscript,":[107],"describe":[109],"SWIF(r)":[111,120],"reliability":[112,138],"score":[113,139],"(SRS),":[114],"a":[115,131,210],"method":[116],"building":[117],"generative":[121],"framework":[122],"reflects":[124],"trustworthiness":[126],"classification":[129],"specific":[132],"instance.":[133],"The":[134,302],"concept":[135],"has":[140,286],"potential":[142],"generalize":[144],"other":[146],"methods.":[149],"We":[150,202,269],"demonstrate":[151,244],"utility":[153],"SRS":[156,208,247,273],"when":[157,297],"faced":[158],"with":[159,265,289],"common":[160],"challenges":[161],"in":[162,171,178,225,316],"including:":[165],"1)":[166],"an":[167],"unknown":[168],"class":[169],"present":[170,177],"testing":[172,187,193],"was":[175],"not":[176],"training":[179,185,256],"data,":[180,188],"2)":[181],"systemic":[182],"mismatch":[183],"between":[184],"3)":[190],"instances":[191],"missing":[197],"values":[198],"attributes.":[201],"explore":[203],"these":[204,241],"applications":[205],"using":[209],"range":[211],"agricultural":[216],"seed":[219],"morphology,":[220],"22":[222],"quantitative":[223],"traits":[224],"UK":[227],"Biobank,":[228],"population":[230],"genetic":[231],"simulations":[232],"1000":[234],"Genomes":[235],"Project":[236],"With":[238],"each":[239],"examples,":[242],"can":[248],"allow":[249],"interrogate":[252],"their":[253,262],"approach":[257],"thoroughly,":[258],"pair":[261],"domain-specific":[263],"knowledge":[264],"powerful":[266],"machine-learning":[267],"frameworks.":[268],"compare":[271],"related":[275],"outlier":[278],"novelty":[280],"detection,":[281],"find":[283],"it":[285],"comparable":[287],"performance,":[288],"advantage":[291],"being":[293],"able":[294],"operate":[296],"missing.":[301],"SRS,":[303],"broader":[306],"discussion":[307],"scientific":[310],"will":[313],"aid":[314],"space":[321],"as":[322],"they":[323],"seek":[324],"harness":[326],"power":[328],"without":[332],"sacrificing":[333],"rigor":[334],"insight.":[337]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}