Machine learning pipeline for meta-prediction of coronary artery disease

Final version of the pipeline for processing TOPMED and other dbGaP datasets, includes: automatic identification of reference genome build and selection of correct chain file, mapping to GRCh37 reference build, initial quality control, ancestry analysis, post-ancestry quality control, phasing, imputation, post-imputation quality control.

A Set of R Tools for Splitting up Chromosomes into Regions of High and Low Recombination

Zoish is a Python package that streamlines machine learning by leveraging SHAP values for feature selection and interpretability, making model development more efficient and user-friendly

This versatile tool streamlines hyperparameter optimization in machine learning workflows.

A command-line tool for isolating frequencies found in accelerometer data.

A pipeline generator and runtime system

A python library for parsing data from NCBI website

Deep learning algorithm for imputation of genetic variants