Stars
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Integrating GWAS and spatial transcriptomics for spatially resolved mapping of cells associated with human complex traits.
The best codes site on github.io
Official implementation for ActFound (Nature Machine Intelligence): A bioactivity foundation model using pairwise meta-learning
Analysis of epigenetic data in Python
🚀🚀 「大模型」2小时完全从0训练26M的小参数GPT！🌏 Train a 26M-parameter GPT from scratch in just 2h!
A wrapper for the kallisto | bustools workflow for single-cell RNA-seq pre-processing
A comprehensive tool to infer TF-centred, spatial gene regulatory networks for the spatially resolved transcriptomic data.
Repository for the tutorials of STARNet, a computational framework designed to decipher spatially specific gene regulatory networks (GRNs) from spatial RNA-ATAC-seq data.
A bioinformatics tool for identifying potential bacteria-derived neoantigens in cancer.
MotionDiff: Training-free Zero-shot Interactive Motion Editing via Flow-assisted Multi-view Diffusion (ICCV25)
Epiverse is the fundamental package for single cell Assay for Transposase-Accessible Chromatin using sequencing (scATAC-seq) with Python.
GNN based on Neural ODEs with application to epidemic spreading using the SIR model.
Cell2Sentence: Teaching Large Language Models the Language of Biology
ArchR : Analysis of Regulatory Chromatin in R (www.ArchRProject.com)
Reconstructing spatiotemporal dynamics from spatial transcriptome snapshots
KGWAS: novel genetics discovery enabled by massive functional genomics knowledge graph
Python package to find communication-driven intercellular flows from single-cell RNA-sequencing and spatial transcriptomics data.
AlphaFold 3 inference pipeline.
Co-accessibility network from single-cell ATAC-seq data. Python code with AnnData, based on Cicero algorithm.