Modeling Tumor Escape Mechanisms for DC-Based Immunotherapy
-
Updated
Mar 20, 2024 - MATLAB
Modeling Tumor Escape Mechanisms for DC-Based Immunotherapy
Files and code used to generate the CARTAR app to identify and validate CAR targets for cancer treatment.
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
Analysis of single-cell RNA-seq data from patients with immunotherapy-related myocarditis.
Prediction of interferon-gamma inducing peptides using alignment-based and alignment-free methods
This project aims to model the disruptive effects of cytotoxic chemotherapeutic drugs on the immunoediting process.
T-cell receptor specificity prediction using Deep Learning
An example of immunopipe
Code for contribution to Fig. 8 of Talvard-Balland et al., JCI 2024
Graph analytics for immunotherapeutic response prediction for metastatic melanoma patients
Analyses of Penter et al., Blood Cancer Discovery 2024
Calculate and explore property indices of peptides for cancer immunotherapy study
Classification task on Immunotherapy data set
Multimodal immunogenomic biomarker analysis of tumours from pediatric patients enrolled to a phase 1-2 study of single-agent atezolizumab
Pharmacokinetic Modeling and Optimization of Omburtamab (8H9) Delivered Through the CSF
Executable of trained model presented in Boll&Vázquez Montes de Oca et al. (unpublished).
analysis related to the FITNESS Study at OSU
Add a description, image, and links to the immunotherapy topic page so that developers can more easily learn about it.
To associate your repository with the immunotherapy topic, visit your repo's landing page and select "manage topics."