HIGHLIGHTS
- who: Jin Du from the Department of Statistics, The Chinese University of China have published the paper: Automatic block-wise genotype-phenotype association detection based on hidden Markov model, in the Journal: (JOURNAL)
- what: But this approach has been criticized because Bonferroni correction is too conservative. The first focus of their method is to train the network to predict phenotype given a test genotype. The authors propose modelling the unknown genotype-phenotype association state sequence using a Hidden Markov model (HMM). In this subsection, the authors provide two choices of initial estimates called Default and . . .
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