Code accompanying the book "Machine Learning for Hackers"

Tools to make an R developer's life easier

Set up commonly used 📦 components

Introduction to Modern Fortran

Code and data for Shahmoradi et al., Predicting evolutionary site variability from structure in viral proteins: buriedness, packing, flexibility, and design, J. Mol. Evol. 79:130–142 (2014).

❗ This is a read-only mirror of the CRAN R package repository. BayesFM — Bayesian Inference for Factor Modeling

Gaussian processes for machine learning in R and FORTRAN.

it calculates the percentage coverage in alpha-helix part of of transmembrane proteins of yeast