Pinned Repositories
BST234-Project
ClusterDE
A post-clustering differential expression (DE) method robust to false-positive inflation caused by double dipping
dongyuan94.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
group02_final_project_packet
PseudotimeDE
A robust DE test method that accounts for the uncertainty in pseudotime inference
rscsampler
scDesign3
scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics
scsampler
SONGDONGYUAN1994.github.io
tcgmm
Two-condition Gaussian Mixture Model
SONGDONGYUAN1994's Repositories
SONGDONGYUAN1994/scDesign3
scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics
SONGDONGYUAN1994/PseudotimeDE
A robust DE test method that accounts for the uncertainty in pseudotime inference
SONGDONGYUAN1994/ClusterDE
A post-clustering differential expression (DE) method robust to false-positive inflation caused by double dipping
SONGDONGYUAN1994/scsampler
SONGDONGYUAN1994/rscsampler
SONGDONGYUAN1994/tcgmm
Two-condition Gaussian Mixture Model
SONGDONGYUAN1994/SONGDONGYUAN1994.github.io
SONGDONGYUAN1994/BST234-Project
SONGDONGYUAN1994/dongyuan94.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
SONGDONGYUAN1994/group02_final_project_packet
SONGDONGYUAN1994/Intro-To-Algorithm-Project
BST234 Intro To Algorithm Final Project
SONGDONGYUAN1994/kaggle_titanic
machine learning project for the titanic competition in Kaggle
SONGDONGYUAN1994/mgcv
:exclamation: This is a read-only mirror of the CRAN R package repository. mgcv — Mixed GAM Computation Vehicle with Automatic Smoothness Estimation
SONGDONGYUAN1994/opensource.guide
Community guides for open source creators
SONGDONGYUAN1994/Pamona
The software of Pamona, a partial manifold alignment algorithm.
SONGDONGYUAN1994/rvinecopulib
R interface to the vinecopulib C++ library
SONGDONGYUAN1994/scDesign3Workflow
The Bioconductor Workflow package for scDesign3
SONGDONGYUAN1994/scGTM
Single-cell generalized trendmodel (scGTM): a flexible and interpretable model for gene expression along cell pseudotime. This is a Python package for modeling the statistical relationship between pseudotime and gene expression data.
SONGDONGYUAN1994/seurat
R toolkit for single cell genomics
SONGDONGYUAN1994/SONGDONGYUAN
SONGDONGYUAN1994/StatModel
Statistical Modeling and Methods | PKU 2020 Spring