🧬 Immunarch: an R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires
-
Updated
Apr 9, 2024 - R
🧬 Immunarch: an R Package for Fast and Painless Exploration of Single-cell and Bulk T-cell/Antibody Immune Repertoires
immuneML is a platform for machine learning analysis of adaptive immune receptor repertoire data.
Comparison of Adaptive Immune Receptor Repertoires
Visualize clonal expansion via circle-packing. 'APackOfTheClones' extends 'scRepertoire' to produce a publication-ready visualization of clonal expansion at a single cell resolution, by representing expanded clones as differently sized circles.
BASIC: BCR and TCR assembly from single cell RNA-seq
Comparison of gene usage in immune repertoires under different biological conditions
Suit of statistical procedures for robust quantification of various BCR and TCR repertoire properties
Immunogenomics of pediatric nervous system tumours
Siamese network-based metric learning for dimensionality reduction and visualization
Limitations of machine learning models for specificity prediction of T-cell receptor sequences
Add a description, image, and links to the immune-repertoire topic page so that developers can more easily learn about it.
To associate your repository with the immune-repertoire topic, visit your repo's landing page and select "manage topics."