immunotherapy
There are 5 repositories under immunotherapy topic.
- Language:Python 32
XSLiuLab / tumor-immunogenicity-score
TIGS (Tumor Immunogenicity Score) project https://doi.org/10.7554/eLife.49020
Language:R 30- Language:Python 20
xjtu-omics / msisensor-rna
MSIsensor-RNA: Microsatellite instability detection using RNA sequencing data
Language:Python 17lrgr / multifactorial-immune-response
Multifactorial modeling of response to checkpoint inhibitor immunotherapy from tumor, immune, and clinical features
Language:Python 13Pan-cancer quantification of neoantigen-mediated immunoediting in cancer evolution
Language:HTML 9A poster showing TIGS project at BioForum2019, ShanghaiTech University
Language:HTML 5neoantigen depletion checking and detection
Language:R 5ShixiangWang / ImmuneDR
A Community Curated Immune Resource Database in R format
Language:R 4- Language:R 3
raghavagps / algpred2
A machine learning based method for predicting, scanning and mapping allergenic regions in an allergen
Language:Perl 3pwwang / immunopipe-example
An example of immunopipe
Language:HTML 2Prediction of interferon-gamma inducing peptides using alignment-based and alignment-free methods
Language:Python 2ryerrabelli / 8H9-Model-Essentials-Public
Pharmacokinetic Modeling and Optimization of Omburtamab (8H9) Delivered Through the CSF
Language:MATLAB 2villani-lab / ircolitis
Analysis of single-cell RNA-seq data from patients with immunotherapy-related colitis.
Language:JavaScript 2EvolutionaryGenomics-GRIB / BLCA_ICI_Response_Predictor
Executable of trained model presented in Boll&Vázquez Montes de Oca et al. (unpublished).
Language:Jupyter Notebook 1gsharma007 / 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.
Language:Python 1rossmacp / CM9_response
Code and data to support doi:10.1136/jitc-2020-001506
Language:R 1Calculate and explore property indices of peptides for cancer immunotherapy study
Language:R 1vadimnazarov / tcr-specificity
T-cell receptor specificity prediction using Deep Learning
Language:Jupyter Notebook 1arnauddhaene / graphmel
Graph analytics for immunotherapeutic response prediction for metastatic melanoma patients
Language:Jupyter Notebook 0Monkhsukh / Immunotherapy
Classification task on Immunotherapy data set
Language:Jupyter Notebook 0p17griv / 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.
Language:Java 0spakowiczlab / 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
0vedangnarain / cancer-immunoediting
This project aims to model the disruptive effects of cytotoxic chemotherapeutic drugs on the immunoediting process.
Language:Python 0elaheghiyabi96 / Modeling-Tumor-Escape-Mechanisms-for-DC-Based-Immunotherapy-Insights-into-the-Role-of-Hypoxia-and-A
Modeling Tumor Escape Mechanisms for DC-Based Immunotherapy
Language:MATLABGMXenomica / CARTAR
Files and code used to generate the CARTAR app to identify and validate CAR targets for cancer treatment.
Language:Pythonmighg / CARTAR
Files and code used to generate the CARTAR app to identify and validate CAR targets for cancer treatment.
Language:Pythonpughlab / iMATRIX-Atezo_Biomarker
Multimodal immunogenomic biomarker analysis of tumours from pediatric patients enrolled to a phase 1-2 study of single-agent atezolizumab
Language:Jupyter Notebook
