Bayesian Inference for Gene Expression and Proteomics

Discover the essential principles of biological and technical aspects of multi-platform high-throughput experimentation in Bayesian Inference for Gene Expression and Proteomics by Cambridge University Press. This comprehensive guide, published in 2012, spans 456 pages and offers expert insights into Bayesian methodologies, tools, and software. Dive deep into topics such as single group inference, group comparisons, classification and clustering, motif discovery, and regulatory networks. Additionally, explore the intricacies of Bayesian networks and gene interactions, making this book an invaluable resource for researchers and professionals in the fields of genomics and proteomics. Enhance your understanding and application of Bayesian inference in biological research with this authoritative paperback edition.