Matches in SemOpenAlex for { <https://semopenalex.org/work/W2123164857> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2123164857 endingPage "492" @default.
- W2123164857 startingPage "477" @default.
- W2123164857 abstract "This paper presents an efficient algorithm based on the combination of Newton Raphson and Gradient Ascent, for using the fused lasso regression method to construct a genome-based classifier. The characteristic structure of copy number data suggests that feature selection should take genomic location into account for producing more interpretable results for genome-based classifiers. The fused lasso penalty, an extension of the lasso penalty, encourages sparsity of the coefficients and their differences by penalizing the L1-norm for both of them at the same time, thus using genomic location. The major advantage of the algorithm over other existing fused lasso optimization techniques is its ability to predict binomial as well as survival response efficiently. We apply our algorithm to two publicly available datasets in order to predict survival and binary outcomes." @default.
- W2123164857 created "2016-06-24" @default.
- W2123164857 creator A5012245890 @default.
- W2123164857 creator A5032056430 @default.
- W2123164857 creator A5054621707 @default.
- W2123164857 date "2014-02-03" @default.
- W2123164857 modified "2023-10-17" @default.
- W2123164857 title "Fused lasso algorithm for Cox′ proportional hazards and binomial logit models with application to copy number profiles" @default.
- W2123164857 cites W2041236924 @default.
- W2123164857 cites W2069709802 @default.
- W2123164857 cites W2074682976 @default.
- W2123164857 cites W2087684630 @default.
- W2123164857 cites W2093291778 @default.
- W2123164857 cites W2109363337 @default.
- W2123164857 cites W2119803525 @default.
- W2123164857 cites W2140514146 @default.
- W2123164857 cites W2146655738 @default.
- W2123164857 cites W2147246240 @default.
- W2123164857 cites W2159183769 @default.
- W2123164857 cites W2166508172 @default.
- W2123164857 cites W2169043705 @default.
- W2123164857 doi "https://doi.org/10.1002/bimj.201200241" @default.
- W2123164857 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24496763" @default.
- W2123164857 hasPublicationYear "2014" @default.
- W2123164857 type Work @default.
- W2123164857 sameAs 2123164857 @default.
- W2123164857 citedByCount "8" @default.
- W2123164857 countsByYear W21231648572019 @default.
- W2123164857 countsByYear W21231648572020 @default.
- W2123164857 countsByYear W21231648572021 @default.
- W2123164857 countsByYear W21231648572022 @default.
- W2123164857 countsByYear W21231648572023 @default.
- W2123164857 crossrefType "journal-article" @default.
- W2123164857 hasAuthorship W2123164857A5012245890 @default.
- W2123164857 hasAuthorship W2123164857A5032056430 @default.
- W2123164857 hasAuthorship W2123164857A5054621707 @default.
- W2123164857 hasConcept C105795698 @default.
- W2123164857 hasConcept C11413529 @default.
- W2123164857 hasConcept C136764020 @default.
- W2123164857 hasConcept C148483581 @default.
- W2123164857 hasConcept C154945302 @default.
- W2123164857 hasConcept C199360897 @default.
- W2123164857 hasConcept C203868755 @default.
- W2123164857 hasConcept C2778029271 @default.
- W2123164857 hasConcept C33923547 @default.
- W2123164857 hasConcept C37616216 @default.
- W2123164857 hasConcept C41008148 @default.
- W2123164857 hasConcept C50382708 @default.
- W2123164857 hasConcept C95623464 @default.
- W2123164857 hasConceptScore W2123164857C105795698 @default.
- W2123164857 hasConceptScore W2123164857C11413529 @default.
- W2123164857 hasConceptScore W2123164857C136764020 @default.
- W2123164857 hasConceptScore W2123164857C148483581 @default.
- W2123164857 hasConceptScore W2123164857C154945302 @default.
- W2123164857 hasConceptScore W2123164857C199360897 @default.
- W2123164857 hasConceptScore W2123164857C203868755 @default.
- W2123164857 hasConceptScore W2123164857C2778029271 @default.
- W2123164857 hasConceptScore W2123164857C33923547 @default.
- W2123164857 hasConceptScore W2123164857C37616216 @default.
- W2123164857 hasConceptScore W2123164857C41008148 @default.
- W2123164857 hasConceptScore W2123164857C50382708 @default.
- W2123164857 hasConceptScore W2123164857C95623464 @default.
- W2123164857 hasIssue "3" @default.
- W2123164857 hasLocation W21231648571 @default.
- W2123164857 hasLocation W21231648572 @default.
- W2123164857 hasOpenAccess W2123164857 @default.
- W2123164857 hasPrimaryLocation W21231648571 @default.
- W2123164857 hasRelatedWork W2147626660 @default.
- W2123164857 hasRelatedWork W2380784125 @default.
- W2123164857 hasRelatedWork W2402455041 @default.
- W2123164857 hasRelatedWork W2429564919 @default.
- W2123164857 hasRelatedWork W2624958122 @default.
- W2123164857 hasRelatedWork W2892287182 @default.
- W2123164857 hasRelatedWork W2949269390 @default.
- W2123164857 hasRelatedWork W2982361083 @default.
- W2123164857 hasRelatedWork W3118634075 @default.
- W2123164857 hasRelatedWork W4293812156 @default.
- W2123164857 hasVolume "56" @default.
- W2123164857 isParatext "false" @default.
- W2123164857 isRetracted "false" @default.
- W2123164857 magId "2123164857" @default.
- W2123164857 workType "article" @default.