HIGHLIGHTS
- who: Su Wang from the Center for Precision Health, University of Texas Health, USA have published the Article: Evaluation of vicinity-based hidden Markov models for genotype imputation, in the Journal: (JOURNAL)
- what: The authors assess the accuracy of vicinity-based HMMs where each untyped variant is imputed using the typed variants in a small window around itself (as small as 1 centimorgan). The authors assess how the parameters of the vicinity-based HMMs impact the imputation accuracy in a comprehensive set of benchmarks and show that vicinity-based HMMs can accurately impute common and . . .
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