There are 0 repository under t-cell-receptor topic.
MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.
📚 Tools and databases for analyzing HLA and VDJ genes.
[Deprecated, see https://github.com/antigenomics/mirpy and other tools @antigenomics] Post-analysis of immune repertoire sequencing data
The Read Origin Protocol (ROP) is a computational protocol that aims to discover the source of all reads, including those originating from repeat sequences, recombinant B and T cell receptors, and microbial communities.
Sequence-based prediction of peptide-TCR interactions using paired chain data
Standardise TR/MH/IG data
Identify split reads in given chromosomal regions
Prediction and characterization of T cell response by improved T cell receptors to antigen specificity with interpretable deep learning
(Under development) Computational framework for probabilistic models of immune receptor assembling.
Prediction and characterization of T cell response by improved T cell receptors to antigen specificity with interpretable deep learning
Statistical classifier for diagnosing ovarian cancer from immune repertoires
TCR embedding expressivity evaluation framework.
Suit of statistical procedures for robust quantification of various BCR and TCR repertoire properties
T-cell receptor specificity prediction using Deep Learning
Benchmarking modern neural networks for scRNA sequencing analysis
MSc Bioinformatics with Systems Biology Dissertation
TCR Enrichment Analysis (TEA) Webtool
Adversarial autoencoders for MHCI epitope and immunogenicity prediction
Limitations of machine learning models for specificity prediction of T-cell receptor sequences