Modeling and predicting single-cell multi-gene perturbation responses with scLAMBDA

reticulate-free single cell format conversion

pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene reg…

Make TCGA download and prepare easy!

MetaTiME: Meta-components in Tumor immune MicroEnvironment

Enhanced ChatGPT Clone: Features Agents, DeepSeek, Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message se…

AUCell: score single cells with gene regulatory networks

CytoSPACE: Optimal mapping of scRNA-seq data to spatial transcriptomics data

R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets

Title: Identification of pre-exhaustion CD8+ T cell subpopulation and core genes as key role in T cell exhaustion by dynamic network biomarker

Identify the critical points and factors

STREAM: Single-cell Trajectories Reconstruction, Exploration And Mapping of single-cell data

BioTIP: Biological Tipping-Point Identification and Characterization

A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。

Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data