immunotherapy
There are 32 repositories under immunotherapy topic.
bm2-lab/pTuneos
pTuneos: prioritizing Tumor neoantigen from next-generation sequencing data
XSLiuLab/tumor-immunogenicity-score
TIGS (Tumor Immunogenicity Score) project https://doi.org/10.7554/eLife.49020
Xinglab/IRIS
IRIS: Isoform peptides from RNA splicing for Immunotherapy target Screening
xjtu-omics/msisensor-rna
MSIsensor-RNA: Microsatellite instability detection using RNA sequencing data
lrgr/multifactorial-immune-response
Multifactorial modeling of response to checkpoint inhibitor immunotherapy from tumor, immune, and clinical features
XSLiuLab/Immunoediting
Pan-cancer quantification of neoantigen-mediated immunoediting in cancer evolution
villani-lab/ircolitis
Analysis of single-cell RNA-seq data from patients with immunotherapy-related colitis.
raghavagps/algpred2
A machine learning based method for predicting, scanning and mapping allergenic regions in an allergen
XSLiuLab/BioForum2019-TIGS-poster
A poster showing TIGS project at BioForum2019, ShanghaiTech University
XSLiuLab/neoantigen_depletion
neoantigen depletion checking and detection
ShixiangWang/ImmuneDR
A Community Curated Immune Resource Database in R format
pwwang/immunopipe-example
An example of immunopipe
raghavagps/ifnepitope2
Prediction of interferon-gamma inducing peptides using alignment-based and alignment-free methods
ryerrabelli/8H9-Model-Essentials-Public
Pharmacokinetic Modeling and Optimization of Omburtamab (8H9) Delivered Through the CSF
EvolutionaryGenomics-GRIB/BLCA_ICI_Response_Predictor
Executable of trained model presented in Boll&Vázquez Montes de Oca et al. (unpublished).
GMXenomica/CARTAR
Files and code used to generate the CARTAR app to identify and validate CAR targets for cancer treatment.
gsharma007/Single_Use_Systems_Simulation_Modeling_And_Optimization
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.
rossmacp/CM9_response
Code and data to support doi:10.1136/jitc-2020-001506
ShixiangWang/neopeptides
Calculate and explore property indices of peptides for cancer immunotherapy study
vadimnazarov/tcr-specificity
T-cell receptor specificity prediction using Deep Learning
villani-lab/myocarditis
Analysis of single-cell RNA-seq data from patients with immunotherapy-related myocarditis.
arnauddhaene/graphmel
Graph analytics for immunotherapeutic response prediction for metastatic melanoma patients
elaheghiyabi96/Modeling-Tumor-Escape-Mechanisms-for-DC-Based-Immunotherapy-Insights-into-the-Role-of-Hypoxia-and-A
Modeling Tumor Escape Mechanisms for DC-Based Immunotherapy
Monkhsukh/Immunotherapy
Classification task on Immunotherapy data set
p17griv/wart-immunotherapy-prediction-app
Wart Immunotherapy Prediction is a medical decision support system that helps doctors to decide whether Immunotherapy is the right treatment method for their patients.
pughlab/iMATRIX-Atezo_Biomarker
Multimodal immunogenomic biomarker analysis of tumours from pediatric patients enrolled to a phase 1-2 study of single-agent atezolizumab
spakowiczlab/nlr-io
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
vedangnarain/cancer-immunoediting
This project aims to model the disruptive effects of cytotoxic chemotherapeutic drugs on the immunoediting process.
mighg/CARTAR
Files and code used to generate the CARTAR app to identify and validate CAR targets for cancer treatment.
spakowiczlab/fitness
analysis related to the FITNESS Study at OSU