SONGDONGYUAN1994

scDesign3

scDesign3 generates realistic in silico data for multimodal single-cell and spatial omics

PseudotimeDE

A robust DE test method that accounts for the uncertainty in pseudotime inference

ClusterDE

A post-clustering differential expression (DE) method robust to false-positive inflation caused by double dipping

scsampler

rscsampler

tcgmm

Two-condition Gaussian Mixture Model

SONGDONGYUAN1994.github.io

BST234-Project

dongyuan94.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

group02_final_project_packet

Intro-To-Algorithm-Project

BST234 Intro To Algorithm Final Project

kaggle_titanic

machine learning project for the titanic competition in Kaggle

mgcv

:exclamation: This is a read-only mirror of the CRAN R package repository. mgcv — Mixed GAM Computation Vehicle with Automatic Smoothness Estimation

opensource.guide

Community guides for open source creators

Pamona

The software of Pamona, a partial manifold alignment algorithm.

rvinecopulib

R interface to the vinecopulib C++ library

scDesign3Workflow

The Bioconductor Workflow package for scDesign3

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.

seurat

R toolkit for single cell genomics

SONGDONGYUAN

StatModel

Statistical Modeling and Methods | PKU 2020 Spring