{"id":"https://openalex.org/W2024615021","doi":"https://doi.org/10.1145/2808719.2808743","title":"Identification of significant genetic variants via SLOPE, and its extension to group SLOPE","display_name":"Identification of significant genetic variants via SLOPE, and its extension to group SLOPE","publication_year":2015,"publication_date":"2015-09-09","ids":{"openalex":"https://openalex.org/W2024615021","doi":"https://doi.org/10.1145/2808719.2808743","mag":"2024615021"},"language":"en","primary_location":{"id":"doi:10.1145/2808719.2808743","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808719.2808743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics","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/A5091213912","display_name":"Alexej Gossmann","orcid":"https://orcid.org/0000-0001-9068-3877"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexej Gossmann","raw_affiliation_strings":["Tulane University, New Orleans, LA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tulane University, New Orleans, LA","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050558613","display_name":"Shaolong Cao","orcid":"https://orcid.org/0000-0002-4443-9424"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shaolong Cao","raw_affiliation_strings":["Tulane University, New Orleans, LA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tulane University, New Orleans, LA","institution_ids":["https://openalex.org/I114832834"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100339106","display_name":"Yu\u2010Ping Wang","orcid":"https://orcid.org/0000-0001-9340-5864"},"institutions":[{"id":"https://openalex.org/I114832834","display_name":"Tulane University","ror":"https://ror.org/04vmvtb21","country_code":"US","type":"education","lineage":["https://openalex.org/I114832834"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Ping Wang","raw_affiliation_strings":["Tulane University, New Orleans, LA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tulane University, New Orleans, LA","institution_ids":["https://openalex.org/I114832834"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6025,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.68914702,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"232","last_page":"240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10885","display_name":"Gene expression and cancer classification","score":0.9987999796867371,"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":0.9987999796867371,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9878000020980835,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.709301769733429},{"id":"https://openalex.org/keywords/group","display_name":"Group (periodic table)","score":0.5058800578117371},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4757618308067322},{"id":"https://openalex.org/keywords/extension","display_name":"Extension (predicate logic)","score":0.4689868092536926},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.46178892254829407},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.44959747791290283},{"id":"https://openalex.org/keywords/false-discovery-rate","display_name":"False discovery rate","score":0.4469901919364929},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.43601691722869873},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.4326602518558502},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40254372358322144},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34350454807281494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3360435366630554},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32741308212280273},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2503747344017029},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.18095064163208008},{"id":"https://openalex.org/keywords/gene","display_name":"Gene","score":0.14225807785987854},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.10913896560668945}],"concepts":[{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.709301769733429},{"id":"https://openalex.org/C2781311116","wikidata":"https://www.wikidata.org/wiki/Q83306","display_name":"Group (periodic table)","level":2,"score":0.5058800578117371},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4757618308067322},{"id":"https://openalex.org/C2778029271","wikidata":"https://www.wikidata.org/wiki/Q5421931","display_name":"Extension (predicate logic)","level":2,"score":0.4689868092536926},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.46178892254829407},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.44959747791290283},{"id":"https://openalex.org/C193244246","wikidata":"https://www.wikidata.org/wiki/Q5432696","display_name":"False discovery rate","level":3,"score":0.4469901919364929},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.43601691722869873},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.4326602518558502},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40254372358322144},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34350454807281494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3360435366630554},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32741308212280273},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2503747344017029},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.18095064163208008},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.14225807785987854},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.10913896560668945},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2808719.2808743","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2808719.2808743","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/15"}],"awards":[{"id":"https://openalex.org/G7579577999","display_name":null,"funder_award_id":"R01 GM109068, R01 MH104680","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1554944419","https://openalex.org/W1894706172","https://openalex.org/W1916786071","https://openalex.org/W1946620893","https://openalex.org/W1981403760","https://openalex.org/W2005732955","https://openalex.org/W2024789485","https://openalex.org/W2082562176","https://openalex.org/W2097360283","https://openalex.org/W2100556411","https://openalex.org/W2110065044","https://openalex.org/W2113328646","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2154972590","https://openalex.org/W2161228163","https://openalex.org/W2161644980","https://openalex.org/W2185657763","https://openalex.org/W2268735772","https://openalex.org/W2787894218","https://openalex.org/W3099014882","https://openalex.org/W3124158594","https://openalex.org/W4294541781"],"related_works":["https://openalex.org/W2389124870","https://openalex.org/W1921844237","https://openalex.org/W2168149717","https://openalex.org/W200978175","https://openalex.org/W2178204436","https://openalex.org/W2113356685","https://openalex.org/W4300887971","https://openalex.org/W4293336298","https://openalex.org/W3144842310","https://openalex.org/W2206006039"],"abstract_inverted_index":{"The":[0],"method":[1,15,60,150,176],"of":[2,23,43,72,143,179],"Sorted":[3],"L-One":[4],"Penalized":[5],"Estimation,":[6],"abbreviated":[7],"as":[8,120,124,206,208],"SLOPE,":[9,148],"is":[10,61,101,177],"a":[11,21,44,80,102,127,132,149,186,203,209],"novel":[12],"sparse":[13],"regression":[14],"for":[16],"model":[17,46],"selection":[18],"introduced":[19],"in":[20,108,126,131,140,163,200],"sequence":[22],"recent":[24],"papers,":[25],"[4],":[26],"[3]":[27],"and":[28,37,94,104],"[7]":[29],"by":[30],"Bogdan,":[31],"van":[32],"den":[33],"Berg,":[34],"Sabatti,":[35],"Su":[36],"Candes.":[38],"It":[39],"estimates":[40],"the":[41,58,66,73,115,141,157,172,181],"coefficients":[42],"linear":[45],"that":[47,151,171,193],"possibly":[48],"has":[49],"more":[50],"unknown":[51],"parameters":[52],"than":[53],"observations.":[54],"In":[55,84],"many":[56],"settings":[57],"SLOPE":[59,139,175,199],"shown":[62],"to":[63,146,195],"successfully":[64],"control":[65],"false":[67,182,211],"discovery":[68,183,212],"rate":[69,184],"(the":[70],"proportion":[71],"irrelevant":[74],"among":[75,114],"all":[76],"selected":[77],"predictors)":[78],"at":[79,185],"user":[81],"specified":[82,187],"level.":[83,188],"this":[85,135],"paper":[86],"we":[87,137],"evaluate":[88],"its":[89,96],"performance":[90],"on":[91],"genetic":[92,109,165],"data,":[93],"show":[95,170,192],"superiority":[97],"over":[98],"LASSO":[99,145],"which":[100,160],"related":[103],"popular":[105],"method.":[106],"Often":[107],"data":[110],"sets,":[111],"group":[112,154],"structures":[113,155],"predictor":[116,158],"variables":[117],"are":[118,161],"given":[119],"prior":[121],"knowledge,":[122],"such":[123],"SNPs":[125],"gene":[128],"or":[129],"genes":[130],"pathway.":[133],"Following":[134],"motivation":[136],"extend":[138],"spirit":[142],"Group":[144,147,174,196,198],"can":[152],"handle":[153],"between":[156],"variables,":[159],"ubiquitous":[162],"real":[164],"data.":[166],"Our":[167],"simulation":[168],"results":[169],"proposed":[173],"capable":[178],"controlling":[180],"Moreover,":[189],"our":[190],"simulations":[191],"compared":[194],"LASSO,":[197],"general":[201],"achieves":[202],"higher":[204],"power":[205],"well":[207],"lower":[210],"rate.":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
