Block or Report
Block or report cailiangliang765
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuseLanguage
Sort by: Recently starred
Starred repositories
一分钟在线定制编译 X86/64, NanoPi R2S R4S R5S R6S, 斐讯 Phicomm N1 K2P, 树莓派 Raspberry Pi, 香橙派 Orange Pi, 红米AX6, 小米AX3600, 小米AX9000, 红米AX6S 小米AX3200, 红米AC2100, 华硕ASUS, 网件NETGEAR 等主流软硬路由
A number of functions were generated to perform pan-cancer DEG analysis, correlation analysis between gene expression and TMB, MSI, TIME, and promoter methylation. Methods for visualization were pr…
An unidentifiable mechanism that helps you bypass GFW.
PyWGCNA is a Python package designed to do Weighted Gene Correlation Network analysis (WGCNA)
cailiangliang765 / paper-code
Forked from strengejacke/paper-codeRepository containing the R-code used in analyses for publications.
A Python Package for PheWAS Execution, Visualization, and Analysis
A Python Package for Mendelian Randomization Analysis
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
A generative model for programmable protein design
JAFFA is a multi-step pipeline that takes either raw RNA-Seq reads, or pre-assembled transcripts, then searches for gene fusions
SCENIC+ is a python package to build gene regulatory networks (GRNs) using combined or separate single-cell gene expression (scRNA-seq) and single-cell chromatin accessibility (scATAC-seq) data.
Papers with code for single cell related papers
Accurate and fast cell marker gene identification with COSG
🚀 R package: future: Unified Parallel and Distributed Processing in R for Everyone
Collection of Tumor-Infiltrating Lymphocyte Single-Cell Experiments with TCR
Single-Cell Analysis of Immune Cells from Renal Clear Cell Carcinoma