Starred repositories
An end-to-end Single-Cell Pipeline designed to facilitate comprehensive analysis and exploration of single-cell data.
Reproducibility of results/figures from omicverse paper
fgld216 / tools-sharing
Forked from ying-ge/tools-sharingA curated collection of AI-powered tools, notebooks, and pipelines created by FigureYa users to accelerate reproducible scientific research.
A python library for multi omics included bulk, single cell and spatial RNA-seq analysis.
Cellular dynamics across aged human brains uncover a multicellular cascade leading to Alzheimer’s disease
Incorporation of conformational space profile into molecular representation learning, and its application to drug discovery, including virtual screening, target identification, and QSAR.
Compilation of R and Python programming codes on the Data Professor YouTube channel.
AI for Science 论文解读合集(持续更新ing),论文/数据集/教程下载:hyper.ai
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
AppStore和GooglePlay应用为:时间朋友,英文名为:TimeFriend。爱今天用户可直接登录此应用
Message Passing Neural Networks for Molecule Property Prediction
Papers with code for single cell related papers
Customizable workflows based on snakemake and python for the analysis of NGS data
A Snakemake workflow for standardised sc/snRNAseq analysis
This is the development home of the workflow management system Snakemake. For general information, see
some scripts for analysis of MD and CADD. And some tutorials.
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene reg…
Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data
The CGView Comparison Tool (CCT) is a package for visually comparing bacterial, plasmid, chloroplast, and mitochondrial sequences.
AutoDock CrankPep for peptide and disordered protein docking
My solutions to Google Code Jam 2019 in Python3
🏃 Python Solutions of All 27 Probelms in GCJ 2017
🏃 Python Solutions of All 27 Problems in GCJ 2019
Some of my Google Code Jam practice and competition code