R工具包,用于根据单细胞数据推断、可视化和分析细胞间通信
microenvironment 开源项目推荐(12 个)
microenvironment 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 12
GitHub 共 12 个仓库,已全部展示R工具包,用于从单细胞和空间分辨转录组学中推断、可视化和分析细胞间通讯
Code for ICLR 2024 (Spotlight) paper "MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding"
EcoTyper is a machine learning framework for large-scale identification of cell states and cellular ecosystems from gene expression data.
R package that automatically classifies the cells in the scRNA data by segregating non-malignant cells of tumor microenviroment from the malignant cells. It also infers the copy number profile of malignant cells, identifies subclonal structures and analyses the specific and shared alterations of each subpopulation.
A Python toolkit for bulk RNA-seq analysis of the tumor microenvironment and immunity, transforming raw sequencing data into comprehensive microenvironment insights.
Single-cell transcriptomics and epigenomics unravel the role of monocytes in neuroblastoma bone marrow metastasis
Entrain: Predicting Environmental Regulators of Differentiation Trajectories
A comprehensive database of Tumor Homing Peptides
A universal tool for rapid identification of cancer foci and tumor boundaries in spatial transcriptome
kira-microenvironment builds a deterministic directed interaction-potential graph over groups: source_group -> ligand -> receptor -> target_group. It resolves LR resources, aggregates expression by group, scores pairwise group interactions, summarizes network structure, and can optionally link with kira-secretion regimes
Minimal implementation of environment with different data types represented as a tree.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 12 个项目;原始页面见 https://github.com/topics/microenvironment。
- 该话题在 GitHub 上共有 12 个仓库, 本站收录的是其中最热门的 12 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 12 个项目累计 2171 Star,覆盖 6 种主要语言,数据更新于 2026-11-11。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。