Multifactorial modeling of response to checkpoint inhibitor immunotherapy from tumor, immune, and clinical features

Analysis associated with the publication, "Change in neutrophil to lymphocyte ratio during immunotherapy treatment is a non-linear predictor of patient outcomes in advanced cancers" DOI : 10.1007/s00432-019-02982-4

A Community Curated Immune Resource Database in R format

A poster showing TIGS project at BioForum2019, ShanghaiTech University

neoantigen depletion checking and detection

Classification task on Immunotherapy data set

This project aims to model the disruptive effects of cytotoxic chemotherapeutic drugs on the immunoediting process.

Discrete Event Simulation | Queue Modeling | Bayesian Optimization | Full Factorial Design. "Design and Operation of Individualized Single-use Systems: Car-T Cell Therapy". Modeling Single-use systems using stochastic optimization techniques.

Pharmacokinetic Modeling and Optimization of Omburtamab (8H9) Delivered Through the CSF

Code and data to support doi:10.1136/jitc-2020-001506

TIGS (Tumor Immunogenicity Score) project https://doi.org/10.7554/eLife.49020

pTuneos: prioritizing Tumor neoantigen from next-generation sequencing data

Calculate and explore property indices of peptides for cancer immunotherapy study

Wart Immunotherapy Prediction is a medical decision support system that helps doctors to decide whether Immunotherapy is the right treatment method for their patients.

Pan-cancer quantification of neoantigen-mediated immunoediting in cancer evolution

Graph analytics for immunotherapeutic response prediction for metastatic melanoma patients

Multimodal immunogenomic biomarker analysis of tumours from pediatric patients enrolled to a phase 1-2 study of single-agent atezolizumab

T-cell receptor specificity prediction using Deep Learning