Statistical Genetics & Bioinformatics

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Bayesian Modeling in Bioinformatics

1st Edition

Dipak K. Dey, Samiran Ghosh, Bani K. Mallick
October 17, 2019

Bayesian Modeling in Bioinformatics 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...

Genomics Data Analysis: False Discovery Rates and Empirical Bayes Methods

1st Edition

David R. Bickel
September 18, 2019

Statisticians have met the need to test hundreds or thousands of genomics hypotheses simultaneously with novel empirical Bayes methods that combine advantages of traditional Bayesian and frequentist statistics. Techniques for estimating the local false discovery rate assign probabilities of...

Introduction to Statistical Methods in Modern Genetics

1st Edition

M.C. Yang
September 05, 2019

Although the basic statistical theory behind modern genetics is not very difficult, most statistical genetics papers are not easy to read for beginners in the field, and formulae quickly become very tedious to fit a particular area of application. Introduction to Statistical Methods in Modern...

Metabolomics: Practical Guide to Design and Analysis

1st Edition

Ron Wehrens, Reza Salek
August 21, 2019

Metabolomics is the scientific study of the chemical processes in a living system, environment and nutrition. It is a relatively new omics science, but the potential applications are wide, including medicine, personalized medicine and intervention studies, food and nutrition, plants, agriculture...

Omic Association Studies with R and Bioconductor

1st Edition

Juan R. González, Alejandro Cáceres
June 11, 2019

After the great expansion of genome-wide association studies, their scientific methodology and, notably, their data analysis has matured in recent years, and they are a keystone in large epidemiological studies. Newcomers to the field are confronted with a wealth of data, resources and methods....

Invitation to Protein Sequence Analysis Through Probability and Information

1st Edition

Daniel J. Graham
February 04, 2019

This book explores the remarkable information correspondences and probability structures of proteins. Correspondences are pervasive in biochemistry and bioinformatics: proteins share homologies, folding patterns, and mechanisms. Probability structures are just as paramount: folded state graphics...

Stochastic Modelling for Systems Biology, Third Edition

3rd Edition

Darren J. Wilkinson
November 21, 2018

Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition covers everything...

Practical Guide to ChIP-seq Data Analysis

1st Edition

Borbala Mifsud, Kathi Zarnack, Anaïs F Bardet
November 05, 2018

Chromatin immunoprecipitation sequencing (ChIP-seq), which maps the genome-wide localization patterns of transcription factors and epigenetic marks, is among the most widely used methods in molecular biology. Practical Guide to ChIP-seq Data Analysis will guide readers through the steps of ChIP-seq...

Systems-Level Modelling of Microbial Communities: Theory and Practice

1st Edition

Aarthi Ravikrishnan, Karthik Raman
September 25, 2018

Systems-Level Modelling of Microbial Communities: Theory and Practice introduces various aspects of modelling microbial communities and presents a detailed overview of the computational methods which have been developed in this area. This book is aimed at researchers in the field of computational/...

Methods in Medical Informatics: Fundamentals of Healthcare Programming in Perl, Python, and Ruby

1st Edition

Jules J. Berman
September 18, 2018

Too often, healthcare workers are led to believe that medical informatics is a complex field that can only be mastered by teams of professional programmers. This is simply not the case. With just a few dozen simple algorithms, easily implemented with open source programming languages, you can fully...

Handbook of Approximate Bayesian Computation

1st Edition

Scott A. Sisson, Yanan Fan, Mark Beaumont
August 10, 2018

As the world becomes increasingly complex, so do the statistical models required to analyse the challenging problems ahead. For the very first time in a single volume, the Handbook of Approximate Bayesian Computation (ABC) presents an extensive overview of the theory, practice and application of...

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

1st Edition

Momiao Xiong
June 19, 2018

Big Data in Omics and Imaging: Integrated Analysis and Causal Inference addresses the recent development of integrated genomic, epigenomic and imaging data analysis and causal inference in big data era. Despite significant progress in dissecting the genetic architecture of complex diseases by...