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discusses the development and application of Bayesian statistical methods for the analysis of high-throughput bioinformatics data arising from problems in molecular and structural biology and disease-related medical research, such as cancer.
It presents a broad overview of statistical inference, clustering, and c
Probabilistic Methods for Bioinformatics
Bayesian Methods for Data Analysis
Bayesian Biostatistics
Likelihood and Bayesian Inference
Bayesian Methods in Pharmaceutical Research
Bayesian Inference and Computation in Reliability and Survival Analysis
Bayesian Phylogenetics
Current Trends in Bayesian Methodology with Applications
Bayesian Biostatistics
Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
Statistical Modeling in Biomedical Research
Advances in Statistical Bioinformatics