MSc Bioinformatics with Systems Biology Dissertation
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Updated
Oct 26, 2022 - Python
MSc Bioinformatics with Systems Biology Dissertation
Adversarial autoencoders for MHCI epitope and immunogenicity prediction
Limitations of machine learning models for specificity prediction of T-cell receptor sequences
TCR Enrichment Analysis (TEA) Webtool
A nextflow pipeline for TCR repertoire building with MiXCR
Evaluating SOTA biologically-informed neural networks (KPNN, PGNN, GNN, and MegaGNN) on scRNA-seq data for classification tasks
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
Suit of statistical procedures for robust quantification of various BCR and TCR repertoire properties
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.
T-cell receptor specificity prediction using Deep Learning
Clustering of immune receptor repertoires
Standardise TR/MH data
Identify split reads in given chromosomal regions
Sequence-based prediction of peptide-TCR interactions using paired chain 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.
HTS-compatible wrapper for IgBlast V-(D)-J mapping tool
Post-analysis of immune repertoire sequencing data
📚 Tools and databases for analyzing HLA and VDJ genes.
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