R package for specialised analysis of single cell data

A Bayesian model for compositional single-cell data analysis

抓取网络文章到github issues保存

Code and example data for running Consensus Non-negative Matrix Factorization on single-cell RNA-Seq data

Single-Cell Analysis of Inter-Individual Variability by Interpretable Tensor Decomposition

R package for analysing single cell data

Single Cell Cluster Evaluation

Fast Wilcoxon and auROC

NMF: A Flexible R package for Nonnegative Matrix Factorization

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

Visualize the results of cell-cell communication analysis

Predict RNA velocity through deep learning

Functions for identifying and characterizing continuous developmental trajectories in single-cell data.

CytoTRACE 2 is an interpretable AI method for predicting cellular potency and absolute developmental potential from scRNA-seq data.

R package for context-specific functionality analysis of metabolic gene clusters

Cell type prioritization in single-cell data

Quantifying metabolism activity at the single-cell resolution

A step-by-step tutorial for Weighted correlation network analysis (WGCNA)

Data-driven Network-based Bayesian Inference of Drivers

R toolkit for single cell genomics

Assessing the purity of single cell population

Methods to compute Local Inverse Simpson's Index (LISI)

R package for modeling single cell UMI expression data using regularized negative binomial regression

Fast, sensitive and accurate integration of single-cell data with Harmony

Functions for: Anchor Integration; RunHarmony; SCT Integration