Springer Statistical Learning in Genetics: An Introduction Using R (Statistics for Biology and Health)

Springer Statistical Learning in Genetics - Using R Book

Springer

Multivariate Statistics and Machine Learning in R For Beginners: With Applications in Biology and Medicine

Springer

Using R for Biostatistics

Springer

Statistical Models and Methods for Data Science (Studies in Classification, Data Analysis, and Knowledge Organization)

Springer

Frontiers in Genetics Algorithm Theory and Applications (Springer Tracts in Nature-Inspired Computing)

Springer

Introduction to Biostatistics using R

Supervised and Unsupervised Statistical Data Analysis (Studies in Classification, Data Analysis, and Knowledge Organization)

Statistical Modeling and Applications (Emerging Topics in Statistics and Biostatistics)

Springer Handbook of Engineering Statistics

Molecular Genetics and Genomics Tools in Biodiversity Conservation

Molecular Genetics and Genomics Tools in Biodiversity Conservation

Introduction to Biometrics (Texts in Computer Science)

Deep Learning and Practice with MindSpore (Cognitive Intelligence and Robotics)

Springer

Clinical Obesity Genetics

Springer

Springer R Programming: Statistical Data Analysis in Research

Springer

An Introduction to Statistical Data Science: Theory and Models

Springer

Genetics and Genomics of High-Altitude Crops

Machine Learning in Educational Sciences: Approaches, Applications and Advances

Feature and Dimensionality Reduction for Clustering with Deep Learning (Unsupervised and Semi-Supervised Learning)

An Introduction to Web Mining: with Applications in R (Use R!)

Springer

Mechanism and Genetic Susceptibility of Neurological Disorders

Statistical Methods and Analyses for Medical Devices

Evolutionary Data Clustering: Algorithms and Applications (Algorithms for Intelligent Systems)

Generalized Matrix Inversion: A Machine Learning Approach