Learning to classify from impure samples with high-dimensional data
Sign Up to like & getrecommendations! Published in 2018 at "Physical Review D"
DOI: 10.1103/physrevd.98.011502
Abstract: A persistent challenge in practical classification tasks is that labeled training sets are not always available. In particle physics, this challenge is surmounted by the use of simulations. These simulations accurately reproduce most features of… read more here.
Keywords: impure; high dimensional; learning classify; impure samples ... See more keywords
Evaluating the detection ability of a range of epistasis detection methods on simulated data for pure and impure epistatic models
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DOI: 10.1371/journal.pone.0263390
Abstract: Background Numerous approaches have been proposed for the detection of epistatic interactions within GWAS datasets in order to better understand the drivers of disease and genetics. Methods A selection of state-of-the-art approaches were assessed. These… read more here.
Keywords: epistasis detection; impure epistatic; impure; detection ... See more keywords