Starred repositories
Spatial-eXpression-R: Cell type identification (including cell type mixtures) and cell type-specific differential expression for spatial transcriptomics
Approaching (Almost) Any Machine Learning Problem
## AI医院: Multi-Agent 医学智能体 与患者进行多轮对话,提出相关和探索性的问题,推荐适当的医学检查,并在收集足够的信息后做出诊断。设置检查员,他们专门负责与患者互动并提供相关的医学检查结果,确保医生能够获得患者必要的客观信息以做出准确诊断。此外,主治医生负责在整个会话后评估医生的表现。 模拟患者与多名医生之间的互动,包括体检结果的收集和最终诊断。
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
R code used to perform the analyses described in the paper "Prelude to Malignancy: A Gene Expression Signature in Normal Mammary Gland from Breast Cancer Patients Suggests Pre-tumorous Alterations …
Temporal Cell-Cell Interaction Analysis in Single-Cell RNA-seq Data
Python资源大全中文版,包括:Web框架、网络爬虫、模板引擎、数据库、数据可视化、图片处理等,由「开源前哨」和「Python开发者」微信公号团队维护更新。
R package for detecting doublets in single-cell RNA sequencing data
ELTEbioinformatics / mulea
Forked from Biocodings/MulEAmulea - an R package for enrichment analysis using various ontologies and empirical false discovery rate
Collection of biocm-tools for scRNAseq analysis
Methods to discover gene programs on single-cell data
rcannood / zellkonverter
Forked from theislab/zellkonverterConversion between scRNA-seq objects
Visualising data frames as funky heatmaps 📊
Inferring, interpreting and visualising trajectories using a streamlined set of packages 🦕
MzDOCK - An Automated GUI based pipeline for Molecular Docking
Interpretation of cell states using reference single-cell maps
R-package to perform metabolomics pre-processing, differential metabolite analysis, metabolite clustering and custom visualisations.
tanlabcode / CytoTalk
Forked from huBioinfo/CytoTalkA novel computational method for inferring cell-type-specific signaling networks using single-cell transcriptomics data for better characterization of cell-cell communication.
A package containing metrics for evaluating subpopulation identification in clusterings, embeddings, graphs and space.