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

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

Springer

Using R for Biostatistics

Springer

Machine Learning Applications in Medicine and Biology

Springer

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

Springer Statistical Learning in Genetics - Using R Book

Springer

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

Springer

Machine Learning in Educational Sciences: Approaches, Applications and Advances

Applied Multivariate Statistical Analysis and Related Topics with R (Current Natural Sciences)

Applied Machine Learning Using mlr3 in R

Statistical Methods and Analyses for Medical Devices

Mastering Data Science with R and SAS: Comprehensive Statistical Modeling and Practical Applications

Explainable Machine Learning for Multimedia Based Healthcare Applications

Springer Innovations in Multivariate Statistical Modeling Book

Springer

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

Springer R Programming: Statistical Data Analysis in Research

Springer

Multiobjective Optimization Algorithms for Bioinformatics

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

Springer

Generalized Matrix Inversion: A Machine Learning Approach

Data-Driven Approach for Bio-medical and Healthcare (Data-Intensive Research)

Advanced Machine Learning with Evolutionary and Metaheuristic Techniques (Computational Intelligence Methods and Applications)

Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

Statistics with R for Microbiome Analysis: From Raw Reads to Relative Abundance

Multi-Omics in Biomedical Sciences and Environmental Sustainability: Applications and Recent Advances

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