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
Python adapter package for querying the GraphKB API
A python package for standardized and reproducible processing, analysis, and integration of clinical proteomics data
Python adapter for generating reports uploaded to IPR using the PORI platform
A machine learning system for identification of ovarian response and deployment of ovarian stimulation strategies in ART
TrialMatchAI aims to seamlessly match cancer patients to clinical trials based on their unique genomic and clinical profiles using AI
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
Add a description, image, and links to the personalized-medicine topic page so that developers can more easily learn about it.
To associate your repository with the personalized-medicine topic, visit your repo's landing page and select "manage topics."