Patient-Specific Modeling in Python

An Artificial Neural Network-based discriminator for validating clinically significant genomic variants

Subclassification of disease states based on the intersection of literature and expression

Services and guidelines for normalizing genes

mity: A highly sensitive mitochondrial variant analysis pipeline for whole genome sequencing data

Services and guidelines for normalizing drug and other therapy terms

Neural text summarization for document retrieval

Text mining cancer biomarkers for the CIVIC database

Code for paper Multiomics dynamic learning enables personalized diagnosis and prognosis for pan-cancer and cancer-subtypes

TractLearn is a Manifold Learning Toolbox for precision medicine. The first application is for Diffusion-Weighted MRI quantitative analysis.

Code to accompany the paper: ”ProteinNetworkSight efficiently transforms co-expressed protein lists into interactive networks and offers suggestions for their modifications”

Easy to use web interface for biologists to look for genetic variants and understand their deleteriousness using DITTO scores.

Services and guidelines for normalizing disease terms

Precision Medicine Target-Drug Selection in Cancer