Files and code used to generate the CARTAR app to identify and validate CAR targets for cancer treatment.
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Updated
May 27, 2024 - Python
Files and code used to generate the CARTAR app to identify and validate CAR targets for cancer treatment.
Files and code used to generate the CARTAR app to identify and validate CAR targets for cancer treatment.
analysis related to the FITNESS Study at OSU
Executable of trained model presented in Boll&Vázquez Montes de Oca et al. (unpublished).
An example of immunopipe
Modeling Tumor Escape Mechanisms for DC-Based Immunotherapy
Analysis of single-cell RNA-seq data from patients with immunotherapy-related colitis.
IRIS: Isoform peptides from RNA splicing for Immunotherapy target Screening
MSIsensor-RNA: Microsatellite instability detection using RNA sequencing data
Prediction of interferon-gamma inducing peptides using alignment-based and alignment-free methods
A machine learning based method for predicting, scanning and mapping allergenic regions in an allergen
T-cell receptor specificity prediction using Deep Learning
Multimodal immunogenomic biomarker analysis of tumours from pediatric patients enrolled to a phase 1-2 study of single-agent atezolizumab
Graph analytics for immunotherapeutic response prediction for metastatic melanoma patients
Pan-cancer quantification of neoantigen-mediated immunoediting in cancer evolution
Wart Immunotherapy Prediction is a medical decision support system that helps doctors to decide whether Immunotherapy is the right treatment method for their patients.
Calculate and explore property indices of peptides for cancer immunotherapy study
pTuneos: prioritizing Tumor neoantigen from next-generation sequencing data
TIGS (Tumor Immunogenicity Score) project https://doi.org/10.7554/eLife.49020
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