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Starred repositories
Spatial Transcriptomics Capture Location Deconvolution
R/Shiny app for Breast Cancer PDTX Encyclopaedia
ExplaineR is an R package built for enhanced interpretation of classification and regression models based on SHAP method and interactive visualizations with unique functionalities so please feel fr…
A set of tools to understand what is happening inside a Random Forest
Detect doublets in single-cell RNA-seq data
An AI-powered research assistant that performs iterative, deep research on any topic by combining search engines, web scraping, and large language models. The goal of this repo is to provide the si…
A live stream development of RL tunning for LLM agents
A pipeline especially built for computing several single-cell datasets
No fortress, purely open ground. OpenManus is Coming.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
jig4003 / ASURATBI
Forked from keita-iida/ASURATBIA pipeline especially built for computing several single-cell datasets
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 …
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Updated Sep 20, 2023
Temporal Cell-Cell Interaction Analysis in Single-Cell RNA-seq Data
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