Insight into neutral and disease-associated human genetic variants through interpretable predictors

HIGHLIGHTS

  • who: Bastiaan A. van den Berg and colleagues from the Computer Science, Delft University of Technology, Mekelweg, CD, Delft, The Netherlands have published the research work: Insight into Neutral and Disease-Associated Human Genetic Variants through Interpretable Predictors, in the Journal: PLOS ONE | DOI:10.1371/journal.pone [0120729]. March 31, 2015 of /1371/
  • what: The authors show how the authors can obtain insight into sequence characteristics of variants and their surroundings by interpreting The authors used an extensive range of features derived from the variant itself its surrounding sequence sequence conservation and sequence annotation . . .

     

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