FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2489697414> ?p ?o ?g. }

• W2489697414 endingPage "678" @default.
• W2489697414 startingPage "659" @default.
• W2489697414 abstract "Variable selection has been the focus of much research in recent years. Bayesian methods have found many successful applications, particularly in situations where the amount of measured variables can be much greater than the number of observations. One such example is the analysis of genomics data. In this paper we first review Bayesian variable selection methods for linear settings, including regression and classification models. We focus in particular on recent prior constructions that have been used for the analysis of genomic data and briefly describe two novel applications that integrate different sources of biological information into the analysis of experimental data. Next, we address variable selection for a different modeling context, i.e., mixture models. We address both clustering and discriminant analysis settings and conclude with an application to gene expression data for patients affected by leukemia." @default.
• W2489697414 created "2016-08-23" @default.
• W2489697414 creator A5008352184 @default.
• W2489697414 creator A5019795448 @default.
• W2489697414 creator A5030348494 @default.
• W2489697414 date "2011-10-06" @default.
• W2489697414 modified "2023-09-27" @default.
• W2489697414 title "Bayesian Models for Variable Selection that Incorporate Biological Information*" @default.
• W2489697414 cites W1513861746 @default.
• W2489697414 cites W1567286985 @default.
• W2489697414 cites W1582801283 @default.
• W2489697414 cites W1666386643 @default.
• W2489697414 cites W171292237 @default.
• W2489697414 cites W1966701961 @default.
• W2489697414 cites W1979421565 @default.
• W2489697414 cites W1992402718 @default.
• W2489697414 cites W1999974018 @default.
• W2489697414 cites W2001414552 @default.
• W2489697414 cites W2006336297 @default.
• W2489697414 cites W2007069447 @default.
• W2489697414 cites W2008919935 @default.
• W2489697414 cites W2010111480 @default.
• W2489697414 cites W2011471859 @default.
• W2489697414 cites W2012328630 @default.
• W2489697414 cites W2035983506 @default.
• W2489697414 cites W2037374553 @default.
• W2489697414 cites W2047109555 @default.
• W2489697414 cites W2051264056 @default.
• W2489697414 cites W2051817458 @default.
• W2489697414 cites W2051907993 @default.
• W2489697414 cites W2054594717 @default.
• W2489697414 cites W2057331441 @default.
• W2489697414 cites W2060469465 @default.
• W2489697414 cites W2074282020 @default.
• W2489697414 cites W2074586297 @default.
• W2489697414 cites W2080838288 @default.
• W2489697414 cites W2081519250 @default.
• W2489697414 cites W2082246284 @default.
• W2489697414 cites W2085573033 @default.
• W2489697414 cites W2088081773 @default.
• W2489697414 cites W2095067466 @default.
• W2489697414 cites W2096878708 @default.
• W2489697414 cites W2109363337 @default.
• W2489697414 cites W2111051773 @default.
• W2489697414 cites W2112814716 @default.
• W2489697414 cites W2115770600 @default.
• W2489697414 cites W2124272791 @default.
• W2489697414 cites W2130774920 @default.
• W2489697414 cites W2131033745 @default.
• W2489697414 cites W2131668296 @default.
• W2489697414 cites W2137571589 @default.
• W2489697414 cites W2138936157 @default.
• W2489697414 cites W2149879453 @default.
• W2489697414 cites W2159347337 @default.
• W2489697414 cites W2161148924 @default.
• W2489697414 cites W2162888823 @default.
• W2489697414 cites W2165892974 @default.
• W2489697414 cites W2166624680 @default.
• W2489697414 cites W2167826316 @default.
• W2489697414 cites W2168820246 @default.
• W2489697414 cites W2168832308 @default.
• W2489697414 cites W2330192890 @default.
• W2489697414 cites W3100220322 @default.
• W2489697414 cites W3123369614 @default.
• W2489697414 cites W1569399378 @default.
• W2489697414 doi "https://doi.org/10.1093/acprof:oso/9780199694587.003.0022" @default.
• W2489697414 hasPublicationYear "2011" @default.
• W2489697414 type Work @default.
• W2489697414 sameAs 2489697414 @default.
• W2489697414 citedByCount "5" @default.
• W2489697414 countsByYear W24896974142013 @default.
• W2489697414 countsByYear W24896974142015 @default.
• W2489697414 countsByYear W24896974142019 @default.
• W2489697414 countsByYear W24896974142021 @default.
• W2489697414 crossrefType "book-chapter" @default.
• W2489697414 hasAuthorship W2489697414A5008352184 @default.
• W2489697414 hasAuthorship W2489697414A5019795448 @default.
• W2489697414 hasAuthorship W2489697414A5030348494 @default.
• W2489697414 hasBestOaLocation W24896974142 @default.
• W2489697414 hasConcept C107673813 @default.
• W2489697414 hasConcept C119857082 @default.
• W2489697414 hasConcept C120665830 @default.
• W2489697414 hasConcept C121332964 @default.
• W2489697414 hasConcept C124101348 @default.
• W2489697414 hasConcept C134306372 @default.
• W2489697414 hasConcept C148483581 @default.
• W2489697414 hasConcept C151730666 @default.
• W2489697414 hasConcept C154945302 @default.
• W2489697414 hasConcept C182365436 @default.
• W2489697414 hasConcept C192209626 @default.
• W2489697414 hasConcept C2779343474 @default.
• W2489697414 hasConcept C33923547 @default.
• W2489697414 hasConcept C41008148 @default.
• W2489697414 hasConcept C69738355 @default.
• W2489697414 hasConcept C73555534 @default.
• W2489697414 hasConcept C81917197 @default.
• W2489697414 hasConcept C86803240 @default.
• W2489697414 hasConcept C93959086 @default.

• next