: Extensive coverage of Poisson processes, Markov models, and Hidden Markov models (HMMs).
: Covers hypothesis testing, estimation, and multiple testing methods like False Discovery Rate (FDR). Pros and Cons Statistical Methods in Bioinformatics: An Intro...
Statistical Methods in Bioinformatics: An Introduction | Springer Nature Link : Extensive coverage of Poisson processes, Markov models,
The book emphasizes as a way to create tools for analyzing large biological data sets, particularly genetic data. Key technical areas include: : Extensive coverage of Poisson processes
