Unser Katalog

Mastering Health Data Science Using R

Mathematics in Biology

Simulationsstudien in R : Design und praktische Durchführung

Spatial Analysis : A Guide for Ecologists

A Practical Guide to Data Analysis Using R : An Example-Based Approach

An Introduction to Model-Based Cognitive Neuroscience

Data Science for Neuroimaging : An Introduction

Earth System Modeling, Data Assimilation and Predictability : Atmosphere, Oceans, Land and Human Systems

Electric brain signals : foundations and applications of biophysical modeling

Evolutionary Studies
Evolution seen from the phase diagram of life

Experimental Design and Data Analysis for Biologists

Genetic and Evolutionary Computation
Handbook of Evolutionary Machine Learning

SpringerBriefs in Statistics
Identifiability and Regression Analysis of Biological Systems Models : Statistical and Mathematical Foundations and R Scripts

Introduction to catastrophe risk modelling : a physics-based approach

Machine Learning Methods for Multi-Omics Data Integration

Mathe-Basics für Data Scientists : Lineare Algebra, Statistik und Wahrscheinlichkeitsrechnung für die Datenanalyse

Multivariate Biomarker Discovery : Data Science Methods for Efficient Analysis of High-Dimensional Biomedical Data

Quantitative biosciences : dynamics across cells, organisms, and populations

Statistical analysis of molecular and genomic evolution

Statistical Methods in Biology : Design and Analysis of Experiments and Regression