On variable selection in high-dimensional omics data in the presence of latent variables
Andrea Mathisen BratsbergInngår i serie: Series of dissertations submitted to the Faculty of Medicine, University of Oslo
Bratsberg, Andrea Mathisen · Bok · Engelsk · utgitt 2025 · Doktoravhandlinger
Bratsberg, Andrea Mathisen · Bok · Engelsk · utgitt 2025 · Doktoravhandlinger
Ikke ledig
Biblioteket har (for tiden) 0 eksemplarerHenter eksemplarliste...
Fakta
Laster innhold...
Kopiér til utklippstavle
*0012812949 *00520250901130152.0 *007ta *008250901s2025 no d m 00 0 eng c *00902689nam a2200421 c 4500 *019 $bl *020 $a9788234806582$qheftet *035 $a(EXLNZ-47BIBSYS_NETWORK)999922894326502201 *035 $a(NO-DIMO)4fb69524-1463-45dc-a1ee-b7bbada055c6 *035 $a(NO-LaBS)51893070(bibid) *035 $aoai:nb.no:pliktmonografi_000053724 *035 $aoai:nb.no:pliktmonografi_000053724 *040 $aNO-TrBIB$bnob$erda *0410 $aeng$beng$beng *060 4$aWA 950 *1001 $aBratsberg, Andrea Mathisen$0(NO-TrBIB)1755667232291$4aut$_395840600 *24000$aOn variable selection in high-dimensional omics data in the presence of latent variables$_395840700 *24510$aOn variable selection in high-dimensional omics data in the presence of latent variables$cAndrea Mathisen Bratsberg *264 1$aOslo$bInstitute of Basic Medical Sciences, Faculty of Medicine, University of Oslo$c2025 *300 $a1 bind (varierende paginering)$bfigurer *336 $atekst$0http://rdaregistry.info/termList/RDAContentType/1020$2rdaco *337 $auformidlet$0http://rdaregistry.info/termList/RDAMediaType/1007$2rdamt *338 $abind$0http://rdaregistry.info/termList/RDACarrierType/1049$2rdact *4901 $aSeries of dissertations submitted to the Faculty of Medicine, University of Oslo *500 $aDelvis opptrykk av artikler *502 $aAvhandling (Ph.D) - Universitetet i Oslo, 2025 *520 $aDenne avhandlingen undersøker statistiske metoder for variabelseleksjon i høy-dimensjonal omics-data, med fokus på utfordringene som latente variabler medfører. Den gir innsikt i beregningsmetoder og deres anvendelser innen biostatistikk og medisinsk forskning.$7Generated by AI *520 $aThis thesis explores statistical methods for variable selection in high-dimensional omics data, focusing on the challenges posed by latent variables. It provides insights into computational approaches and their applications in biostatistics and medical research.$7Generated by AI *546 $aEngelsk tekst, sammendrag på engelsk og norsk *588 $aPart of the metadata in this record was created with the help of AI Metadata Assistant *650 0$aBiostatistics$xResearch$_395840800 *650 0$aLatent variables$xMathematical models$_395840900 *650 2$aDatasets as Topic$0(DNLM)D066264$_395841000 *650 2$aMethods$0(DNLM)D008722$_50462800 *655 7$aDoktoravhandlinger$0(uri)https://id.nb.no/vocabulary/ntsf/61$2ntsf$_202811400 *655 7$aDoktoravhandlinger$0https://id.nb.no/vocabulary/ntsf/61$2ntsf$_10604600 *7001 $aBratsberg, Andrea Mathisen$0(NO-TrBIB)1755667232291$tOn variable selection in high-dimensional omics data in the presence of latent variables$_395840600 *7102 $aUniversitetet i Oslo$bDet medisinske fakultet$0(NO-TrBIB)90302138$4pbl$_10213300 *7102 $aUniversitetet i Oslo$bInstitutt for medisinske basalfag$0(NO-TrBIB)14051192$4dgg$_11428800 *830 0$aSeries of dissertations submitted to the Faculty of Medicine, University of Oslo$_10213500 *85640$uhttps://urn.nb.no/URN:NBN:no-nb_pliktmonografi_000053724$3Fulltekst$yNettbiblioteket$zDigital representasjon *917 $ad *999 $aoai:nb.bibsys.no:999920650564402202$b2025-09-18T00:03:21Z$z999920650564402202 ^