immunotherapy

There are 5 repositories under immunotherapy topic.

• bm2-lab / pTuneos

  pTuneos: prioritizing Tumor neoantigen from next-generation sequencing data

  immunotherapyneoantigen
  Language:Python 32

• XSLiuLab / tumor-immunogenicity-score

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

  analysis-reportreproducible-analysismanuscripttumor-immunogenicityimmunotherapybiomarker-discovery
  Language:R 30

• Xinglab / IRIS

  IRIS: Isoform peptides from RNA splicing for Immunotherapy target Screening

  immunotherapyrna-splicingneoantigentumor-antigenrna-seq
  Language:Python 20

• xjtu-omics / msisensor-rna

  MSIsensor-RNA: Microsatellite instability detection using RNA sequencing data

  dynamic-detectionimmunotherapymicrosatellite-instabilityrna-seq
  Language:Python 17

• lrgr / multifactorial-immune-response

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

  cancerimmunotherapysupervised-learning
  Language:Python 13

• XSLiuLab / Immunoediting

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

  immunoeditingcancer-genomicsimmunotherapyanalysis-report
  Language:HTML 9

• XSLiuLab / BioForum2019-TIGS-poster

  A poster showing TIGS project at BioForum2019, ShanghaiTech University

  tigsicbimmunotherapybiomarkerposter
  Language:HTML 5

• XSLiuLab / neoantigen_depletion

  neoantigen depletion checking and detection

  neoantigenantigenimmunotherapy
  Language:R 5

• ShixiangWang / ImmuneDR

  A Community Curated Immune Resource Database in R format

  rimmune-infiltrationdatabasetcga-dataimmunotherapy
  Language:R 4

• mensenyat / TNBC-ICI

  breast-cancercancerimmunotherapymachine-learningrclassifier
  Language:R 3

• raghavagps / algpred2

  A machine learning based method for predicting, scanning and mapping allergenic regions in an allergen

  allergensallergybioinformaticsimmunoinformaticsimmunotherapymachine-learning-algorithms
  Language:Perl 3

• pwwang / immunopipe-example

  An example of immunopipe

  immunotherapyseuratsingle-cell-analysissingle-cell-rna-seqtcrtcr-repertoire
  Language:HTML 2

• raghavagps / ifnepitope2

  Prediction of interferon-gamma inducing peptides using alignment-based and alignment-free methods

  bioinformaticsimmunoinformaticsimmunotherapymachine-learning-algorithmsvaccineinterferon-gamma
  Language:Python 2

• ryerrabelli / 8H9-Model-Essentials-Public

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

  omburtamabpharmacokineticsmodelingmatlabdifferential-equationssimulationantibodycancercsfcsf-modeltumorneuroblastomametastasisradiationimmunotherapy
  Language:MATLAB 2

• villani-lab / ircolitis

  Analysis of single-cell RNA-seq data from patients with immunotherapy-related colitis.

  bioinformaticscomputational-biologyimmunotherapysingle-cell-analysissingle-cell-rna-seq
  Language:JavaScript 2

• EvolutionaryGenomics-GRIB / BLCA_ICI_Response_Predictor

  Executable of trained model presented in Boll&Vázquez Montes de Oca et al. (unpublished).

  bladder-cancerimmunotherapymachine-learningprediction-model
  Language:Jupyter Notebook 1

• 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.

  simulation-modelingqueuing-theorydiscrete-event-simulationdesign-of-experimentsevent-based-schedulerbio-manufacturingimmunotherapy
  Language:Python 1

• robomo68 / ubiquitous-guide

  lung-cancer-detectionsmallcellchemotherapyradiationimmunotherapy
  1

• rossmacp / CM9_response

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

  biomarkerscancerimmunotherapy
  Language:R 1

• ShixiangWang / neopeptides

  Calculate and explore property indices of peptides for cancer immunotherapy study

  immunotherapypeptidesr-packageneoantigen
  Language:R 1

• vadimnazarov / tcr-specificity

  T-cell receptor specificity prediction using Deep Learning

  deep-learningimmunologyimmunotherapymulti-omicst-cell-receptor
  Language:Jupyter Notebook 1

• arnauddhaene / graphmel

  Graph analytics for immunotherapeutic response prediction for metastatic melanoma patients

  graphmlimmunotherapymelanomamelanoma-analysistherapy-response
  Language:Jupyter Notebook 0

• Monkhsukh / Immunotherapy

  Classification task on Immunotherapy data set

  machine-learning-algorithmsimmunotherapyclassification-modeldata-analytics
  Language:Jupyter Notebook 0

• 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.

  decision-support-systemmedical-applicationandroid-applicationimmunotherapy
  Language:Java 0

• 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

  neutrophilimmunotherapynlrmachine-learning
  0

• vedangnarain / cancer-immunoediting

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

  cancerimmunotherapychemotherapytelluriumbioengineeringcompucell3dtumor
  Language:Python 0

• 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

  hypoxiaimmunotherapymathematical-modelingadenosine
  Language:MATLAB

• GMXenomica / CARTAR

  Files and code used to generate the CARTAR app to identify and validate CAR targets for cancer treatment.

  bioinformatics-toolcancercar-timmunotherapytarget
  Language:Python

• mighg / CARTAR

  Files and code used to generate the CARTAR app to identify and validate CAR targets for cancer treatment.

  bioinformatics-toolcancercar-timmunotherapytarget
  Language:Python

• pughlab / iMATRIX-Atezo_Biomarker

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

  ngspediatric-cancerbiomarkersimmunotherapyimmunoinformaticstcr-repertoire
  Language:Jupyter Notebook