Matches in SemOpenAlex for { <https://semopenalex.org/work/W2107275263> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W2107275263 abstract "An extension of principal component analysis called ipPCA has been proposed earlier for analyzing structure in genetic data. This non-parametric framework iteratively classifies individuals into subpopulations. However, it is prone to false positives when dealing with large datasets and mixed-type genetic markers. We address these shortcomings by introducing a unified encoding scheme and suggesting a new terminating criterion for ipPCA. To validate the improvements, simulated datasets as well as real bovine and large human genetic datasets are analyzed. It is observed that the estimation of the number of subpopulations and the individual assignment accuracy have been improved. Furthermore, the structure resolved by this approach can be used to identify subset of individuals for further parametric population structure analysis." @default.
- W2107275263 created "2016-06-24" @default.
- W2107275263 creator A5026749433 @default.
- W2107275263 creator A5036611424 @default.
- W2107275263 creator A5046419753 @default.
- W2107275263 creator A5061565686 @default.
- W2107275263 creator A5065291662 @default.
- W2107275263 date "2011-05-01" @default.
- W2107275263 modified "2023-09-27" @default.
- W2107275263 title "Iterative PCA for population structure analysis" @default.
- W2107275263 cites W1939028615 @default.
- W2107275263 cites W1990295095 @default.
- W2107275263 cites W2000231790 @default.
- W2107275263 cites W2023131844 @default.
- W2107275263 cites W2072706575 @default.
- W2107275263 cites W2098126593 @default.
- W2107275263 cites W2108169091 @default.
- W2107275263 cites W2129316818 @default.
- W2107275263 cites W2168059506 @default.
- W2107275263 cites W2172260290 @default.
- W2107275263 doi "https://doi.org/10.1109/icassp.2011.5946474" @default.
- W2107275263 hasPublicationYear "2011" @default.
- W2107275263 type Work @default.
- W2107275263 sameAs 2107275263 @default.
- W2107275263 citedByCount "1" @default.
- W2107275263 countsByYear W21072752632014 @default.
- W2107275263 crossrefType "proceedings-article" @default.
- W2107275263 hasAuthorship W2107275263A5026749433 @default.
- W2107275263 hasAuthorship W2107275263A5036611424 @default.
- W2107275263 hasAuthorship W2107275263A5046419753 @default.
- W2107275263 hasAuthorship W2107275263A5061565686 @default.
- W2107275263 hasAuthorship W2107275263A5065291662 @default.
- W2107275263 hasConcept C105795698 @default.
- W2107275263 hasConcept C117251300 @default.
- W2107275263 hasConcept C119857082 @default.
- W2107275263 hasConcept C124101348 @default.
- W2107275263 hasConcept C144024400 @default.
- W2107275263 hasConcept C149923435 @default.
- W2107275263 hasConcept C153180895 @default.
- W2107275263 hasConcept C154945302 @default.
- W2107275263 hasConcept C27438332 @default.
- W2107275263 hasConcept C2908647359 @default.
- W2107275263 hasConcept C33923547 @default.
- W2107275263 hasConcept C41008148 @default.
- W2107275263 hasConcept C64869954 @default.
- W2107275263 hasConceptScore W2107275263C105795698 @default.
- W2107275263 hasConceptScore W2107275263C117251300 @default.
- W2107275263 hasConceptScore W2107275263C119857082 @default.
- W2107275263 hasConceptScore W2107275263C124101348 @default.
- W2107275263 hasConceptScore W2107275263C144024400 @default.
- W2107275263 hasConceptScore W2107275263C149923435 @default.
- W2107275263 hasConceptScore W2107275263C153180895 @default.
- W2107275263 hasConceptScore W2107275263C154945302 @default.
- W2107275263 hasConceptScore W2107275263C27438332 @default.
- W2107275263 hasConceptScore W2107275263C2908647359 @default.
- W2107275263 hasConceptScore W2107275263C33923547 @default.
- W2107275263 hasConceptScore W2107275263C41008148 @default.
- W2107275263 hasConceptScore W2107275263C64869954 @default.
- W2107275263 hasLocation W21072752631 @default.
- W2107275263 hasOpenAccess W2107275263 @default.
- W2107275263 hasPrimaryLocation W21072752631 @default.
- W2107275263 hasRelatedWork W1017104284 @default.
- W2107275263 hasRelatedWork W1603542183 @default.
- W2107275263 hasRelatedWork W1698298084 @default.
- W2107275263 hasRelatedWork W1840245322 @default.
- W2107275263 hasRelatedWork W1941524270 @default.
- W2107275263 hasRelatedWork W1972636208 @default.
- W2107275263 hasRelatedWork W1980652169 @default.
- W2107275263 hasRelatedWork W2009163635 @default.
- W2107275263 hasRelatedWork W2031109238 @default.
- W2107275263 hasRelatedWork W2055544590 @default.
- W2107275263 hasRelatedWork W2057279785 @default.
- W2107275263 hasRelatedWork W2107850033 @default.
- W2107275263 hasRelatedWork W2116166849 @default.
- W2107275263 hasRelatedWork W2125471214 @default.
- W2107275263 hasRelatedWork W2135502751 @default.
- W2107275263 hasRelatedWork W2160727916 @default.
- W2107275263 hasRelatedWork W2165297016 @default.
- W2107275263 hasRelatedWork W2167882825 @default.
- W2107275263 hasRelatedWork W2291178738 @default.
- W2107275263 hasRelatedWork W3159333245 @default.
- W2107275263 isParatext "false" @default.
- W2107275263 isRetracted "false" @default.
- W2107275263 magId "2107275263" @default.
- W2107275263 workType "article" @default.