A Machine Learning Pipeline for Phenotype Prediction from Genotype Data
Foundations of Computational and Systems Biology
Feature Selection via Block-Regularized Regression
Environmental Science
Genotyping Structural Variation
Some Challenging Machine Learning Problems in Computational Biology: Time-Varying Networks Inference and Sparse Structured Input-Out Learning
Probabilistic Approaches for Computational Biology and Medicine
Differential Calculus for the Life Sciences
Machine Learning in Computational Biology (the frequentist approach)
Computational Biology