Evolutionary Bioinformatics

Evolutionary Bioinformatics

Handbook of Statistical Bioinformatics

Bayesian Methods in Structural Bioinformatics

Statistical Methods in Bioinformatics An Introduction

Statistical methods in bioinformatics : an introduction

Probabilistic Modeling in Bioinformatics and Medical Informatics

Basics of Bioinformatics Lecture Notes of the Graduate Summer School on Bioinformatics of China

Advances in Data Analysis Theory and Applications to Reliability and Inference, Data Mining, Bioinformatics, Lifetime Data, and Neural Networks

Bioinformatics and Computational Biology Solutions Using R and Bioconductor

Dynamic Neuroscience Statistics, Modeling, and Control

Regression Models, Methods and Applications

Modeling Dose-Response Microarray Data in Early Drug Development Experiments Using R Order-Restricted Analysis of Microarray Data

Biosimulation in Biomedical Research, Health Care and Drug Development

Computational Cancer Biology An Interaction Network Approach

Analysis of Phylogenetics and Evolution with R

Chemometrics with R Multivariate Data Analysis in the Natural Sciences and Life Sciences

Probability for Statistics and Machine Learning Fundamentals and Advanced Topics

Statistische Versuchsplanung Design of Experiments (DoE)

Handbook on Analyzing Human Genetic Data Computational Approaches and Software

Cooperation in Classification and Data Analysis Proceedings of Two German-Japanese Workshops

The Elements of Statistical Learning Data Mining, Inference, and Prediction

A Guide to QTL Mapping with R/qtl

Statistical Analysis of Network Data Methods and Models

Principles and Theory for Data Mining and Machine Learning

Statistical Analysis of Designed Experiments, Third Edition

Cancer Mortality and Morbidity Patterns in the U.S. Population An Interdisciplinary Approach

The Statistical Analysis of Functional MRI Data

Introductory Statistics with R

Handbook of Data Visualization

Interactive and Dynamic Graphics for Data Analysis With R and Ggobi

Information Criteria and Statistical Modeling

Semi-Markov Chains and Hidden Semi-Markov Models toward Applications Their use in Reliability and DNA Analysis

Wavelet Methods in Statistics with R

Bioconductor Case Studies

Modern Multivariate Statistical Techniques Regression, Classification, and Manifold Learning

Methods of Microarray Data Analysis V

Multiple Testing Procedures with Applications to Genomics

The Statistics of Gene Mapping

Statistical Genetics of Quantitative Traits Linkage, Maps, and QTL

Programmieren mit R

Analysis of Phylogenetics and Evolution with R

Finite Mixture and Markov Switching Models

Statistical Methods in Molecular Evolution

The Basics of S-PLUS

Computational Genome Analysis An Introduction

Programmieren mit R