Chapman & Hall/CRC Computational Biology Series – serie

Multivariate Data Integration Using R

Methods and Applications with the mixOmics Package

Computational Systems Biology Approaches in Cancer Research

Computational Biology

A Statistical Mechanics Perspective

Introduction to Computational Proteomics

Glycome Informatics

Methods and Applications

Multivariate Data Integration Using R

Methods and Applications with the mixOmics Package

Analyzing High-Dimensional Gene Expression and DNA Methylation Data with R

Virus Bioinformatics

Virus Bioinformatics

Computational Genomics with R

Stochastic Modelling for Systems Biology, Third Edition

Computational Blood Cell Mechanics

Road Towards Models and Biomedical Applications

Computational Exome and Genome Analysis

Algorithms for Next-Generation Sequencing

Computational Systems Biology of Cancer

Introduction to Bio-Ontologies

Algorithms in Bioinformatics

A Practical Introduction

Introduction to Computational Systems Biology

Systems-Level Modelling of Cellular Networks

Computational Systems Biology Approaches in Cancer Research

Computational Biology

A Statistical Mechanics Perspective, Second Edition

Big Data Analysis for Bioinformatics and Biomedical Discoveries

Big Data in Omics and Imaging

Integrated Analysis and Causal Inference

Big Data in Omics and Imaging

Integrated Analysis and Causal Inference

Big Data in Omics and Imaging

Association Analysis

Bioinformatics

A Practical Guide to NCBI Databases and Sequence Alignments

Bioinformatics

A Practical Guide to NCBI Databases and Sequence Alignments

Data Integration, Manipulation and Visualization of Phylogenetic Trees

Chromatin

Structure, Dynamics, Regulation

Metabolomics

Practical Guide to Design and Analysis