Extended Joint Models for Longitudinal and Survival Data

Precision HLA typing from next-generation sequencing data

Platform for Oncogenomic Reporting and Interpretation (PORI)

Methods for subgroup identification / personalized medicine / individualized treatment rules

Patient-Specific Modeling in Python

Deep Treatment Learning (R)

LLM-Personalized-Medicine

Personalized Network-based Anti-Cancer Therapy Appointment

Front-end web client for the GraphKB project

Integrated Pipeline Reports (IPR) API, the reporting API as part of the PORI platform

Integrated Pipeline Reports (IPR) client. The web interface for the reporting application as part of PORI

A python package for standardized and reproducible processing, analysis, and integration of clinical proteomics data

Python adapter package for querying the GraphKB API

Python adapter for generating reports uploaded to IPR using the PORI platform

TrialMatchAI aims to seamlessly match cancer patients to clinical trials based on their unique genomic and clinical profiles using AI

A machine learning system for identification of ovarian response and deployment of ovarian stimulation strategies in ART

REST API for the GraphKB project

Shared package between the API and GUI for GraphKB which holds the schema definitions and schema-related functions

A package for parsing and recreating HGVS-like variant notation used in GraphKB

Benchmarking computational methods for B cell receptor reconstruction from single cell RNA-seq data