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python tools for TCR:peptide-MHC modeling and analysis
New fast and efficient version of UnionCom for topological alignment
Simulating single-cell data using gene regulatory networks 📠
a unified single-cell data integration framework by optimal transport
Implementation of paper "Probabilistic Active Meta-Learning" (NeurIPS 2020).
A curated list of long-tailed recognition resources.
A resource for researchers studying TCR antigen specificity
Pytorch🍊🍉 is delicious, just eat it! 😋😋
Official code repository of "BERTology Meets Biology: Interpreting Attention in Protein Language Models."
Large language modeling applied to T-cell receptor (TCR) sequences.
Deep Learning Methods for Parsing T-Cell Receptor Sequencing (TCRSeq) Data
A novel algorithm, DensityPath, which accurately and efficiently reconstructs the underlying cell developmental trajectories for large-scale scRNAseq data.
A robust PCA method of tumor clone and evolution inference from single-cell sequencing data.
The software of Pamona, a partial manifold alignment algorithm.
Single-cell ATAC-seq analysis via Latent feature Extraction
PRObabilistic Simulations of ScRNA-seq Tree-like Topologies
Gromov-Wasserstein based optimal transport for aligning single-cell multi-omics data
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
A collection of AWESOME things about domian adaptation