statwangz's Stars
bulik/ldsc
LD Score Regression (LDSC)
gefeiwang/scMODAL
scMODAL: A general deep learning framework for single-cell Multi-Omics Data Alignment with feature Links
jiazhao97/INSPIRE
INSPIRE: interpretable, flexible and spatially-aware integration of multiple spatial transcriptomics datasets from diverse sources
ShiArthur03/ShiArthur03
SigmaBM/MACE
[AAAI 2024] Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing
YangLabHKUST/MRbenchmarking
YangLabHKUST/FLAG
Flexible and Accurate Methods for Estimation and Inference of Gaussian Graphical Models with Applications
zcang/COMMOT
XingangPan/DragGAN
Official Code for DragGAN (SIGGRAPH 2023)
facebookresearch/ConvNeXt
Code release for ConvNeXt model
tikzit/tikzit
pgf/TikZ diagram editor
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
LiLittleCat/awesome-free-chatgpt
🆓免费的 ChatGPT 镜像网站列表,持续更新。List of free ChatGPT mirror sites, continuously updated.
YangLabHKUST/mfair
mfair: Matrix Factorization with Auxiliary Information in R
hankinghu/literature-books
书籍txt
YangLabHKUST/XMAP
YangLabHKUST/SpatialScope
A unified approach for integrating spatial and single-cell transcriptomics data by leveraging deep generative models
gao-lab/GLUE
Graph-linked unified embedding for single-cell multi-omics data integration
YangLabHKUST/STitch3D
Construction of a 3D whole organism spatial atlas by joint modeling of multiple slices
YangLabHKUST/PALM
ustctug/ustcthesis
LaTeX template for USTC thesis
YangLabHKUST/LOG-TRAM
lowlighter/metrics
📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!
YangLabHKUST/bivas
A scalable Bayesian method for bi-level variable selection
YangLabHKUST/iGREX
Quantifying the impact of genetically regulated expression on complex traits and diseases
YangLabHKUST/XPA
Cross-population analysis using the individual-level GWAS data
YangLabHKUST/VCM
R package VCM contains three approaches for solving variance components model: PX-EM algorithm, MM algorithm and Method of Moments
fabsig/GPBoost
Combining tree-boosting with Gaussian process and mixed effects models
hanchenphd/GMMAT
Generalized linear Mixed Model Association Tests
YangLabHKUST/XPASS
Cross-population analysis using GWAS summary statistics