{"id":"https://openalex.org/W2067588550","doi":"https://doi.org/10.1109/gensips.2011.6169464","title":"Sample-based estimators for the instrinsically multivariate prediction score","display_name":"Sample-based estimators for the instrinsically multivariate prediction score","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2067588550","doi":"https://doi.org/10.1109/gensips.2011.6169464","mag":"2067588550"},"language":"en","primary_location":{"id":"doi:10.1109/gensips.2011.6169464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gensips.2011.6169464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100443173","display_name":"Ting Chen","orcid":"https://orcid.org/0000-0001-8414-6346"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ting Chen","raw_affiliation_strings":["Department of Electrical Engineering, Texas A and M University, College Station, TX, USA","Department of Electrical Engineering, Texas A & M University, College Station, 77843, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Texas A and M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Electrical Engineering, Texas A & M University, College Station, 77843, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026990034","display_name":"Ulisses Braga-Neto","orcid":"https://orcid.org/0000-0002-1210-2173"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ulisses Braga-Neto","raw_affiliation_strings":["Department of Electrical Engineering, Texas A and M University, College Station, TX, USA","Department of Electrical Engineering, Texas A & M University, College Station, 77843, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Texas A and M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Electrical Engineering, Texas A & M University, College Station, 77843, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":1.9882,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86529404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"80","issue":null,"first_page":"139","last_page":"142"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9998999834060669,"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/T10621","display_name":"Gene Regulatory Network Analysis","score":0.9998999834060669,"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/T10887","display_name":"Bioinformatics and Genomic Networks","score":0.9970999956130981,"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/T11764","display_name":"Evolution and Genetic Dynamics","score":0.9954000115394592,"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/estimator","display_name":"Estimator","score":0.885793924331665},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5968908071517944},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5717348456382751},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.554672360420227},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5295558571815491},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.42775478959083557},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3999025225639343},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.3220956325531006},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.31800222396850586},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3061563968658447},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2877947986125946}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.885793924331665},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5968908071517944},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5717348456382751},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.554672360420227},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5295558571815491},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.42775478959083557},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3999025225639343},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.3220956325531006},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.31800222396850586},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3061563968658447},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2877947986125946},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/gensips.2011.6169464","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gensips.2011.6169464","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1985093013","https://openalex.org/W2030387392","https://openalex.org/W2066024292","https://openalex.org/W2094902224","https://openalex.org/W2104862630","https://openalex.org/W2134849017","https://openalex.org/W2160533336","https://openalex.org/W2799002609","https://openalex.org/W4251911815","https://openalex.org/W4292403327"],"related_works":["https://openalex.org/W4243114048","https://openalex.org/W2529605301","https://openalex.org/W4237896776","https://openalex.org/W4231665652","https://openalex.org/W1837630526","https://openalex.org/W2000242494","https://openalex.org/W2335589441","https://openalex.org/W2111545434","https://openalex.org/W4381052368","https://openalex.org/W2736943574"],"abstract_inverted_index":{"Canalizing":[0],"genes":[1,21,53],"possess":[2,54],"broad":[3],"regulatory":[4,8,156],"power":[5],"over":[6],"gene":[7,45,69],"networks.":[9],"In":[10,57],"a":[11,43,68,87,93,99],"previous":[12],"publication,":[13],"the":[14,27,40,62,122,128,134,143,159,161,167,178],"concept":[15],"of":[16,29,39,64,67,109,169,180],"intrinsically":[17],"multivariate":[18],"predictive":[19],"(IMP)":[20],"was":[22,49],"introduced":[23],"and":[24,83,85,102],"analyzed":[25],"in":[26,46,131,158,177],"context":[28],"stochastic":[30,95,104,136],"logic":[31,96,137],"models.":[32],"Furthermore,":[33],"based":[34,78],"on":[35,79],"an":[36],"empirical":[37],"study":[38,61,73],"DUSP":[41],"gene,":[42],"canalizing":[44,52],"melanoma,":[47],"it":[48],"hypothesized":[50],"that":[51,121],"IMP":[55,70,75,89,124,145,163],"properties.":[56],"this":[58],"paper,":[59],"we":[60],"problem":[63],"sample-based":[65],"estimation":[66],"score.":[71],"We":[72],"nonparametric":[74],"score":[76,90,125,146,164],"estimators":[77,111,130],"resubstitution,":[80],"leave-one-out,":[81],"cross-validation,":[82],"bootstrap,":[84],"introduce":[86],"maximum-likelihood":[88],"estimator":[91,126,165,168],"for":[92],"many-input":[94],"model.":[97,138],"Assuming":[98],"two-input,":[100],"three-input":[101],"four-input":[103],"AND":[105],"model,":[106],"performance":[107],"metrics":[108],"these":[110],"are":[112],"calculated":[113],"by":[114,142],"Monte":[115],"Carlo":[116],"sampling.":[117],"Our":[118],"results":[119],"show":[120],"ML":[123,162],"outperforms":[127],"other":[129],"RMS,":[132],"under":[133],"assumed":[135],"It":[139],"is":[140,166,173],"followed":[141],"resubstitution":[144,172],"estimator.":[147],"This":[148],"indicates":[149],"that,":[150],"provided":[151],"one":[152],"has":[153],"information":[154],"about":[155],"relationships":[157],"network,":[160],"choice,":[170],"whereas":[171],"to":[174],"be":[175],"preferred":[176],"absence":[179],"prior":[181],"knowledge.":[182]},"counts_by_year":[{"year":2013,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
