: The second edition added significant material on gene expression and ANOVA.
The book emphasizes as a way to create tools for analyzing large biological data sets, particularly genetic data. Key technical areas include:
Statistical Methods in Bioinformatics: An Introduction | Springer Nature Link
: Covers hypothesis testing, estimation, and multiple testing methods like False Discovery Rate (FDR). Pros and Cons
: Extensive coverage of Poisson processes, Markov models, and Hidden Markov models (HMMs).
Based on professional and academic reviews from Springer Nature , Amazon , and ResearchGate :