日报 (Daily Trends): 2026-03-04

日报 (Daily Trends): 2026-03-04

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👋 Welcome to BioF3's Daily Trends! Today's edition features 3 GitHub projects and 1 research papers from bioRxiv, arXiv, and PubMed.

Content generated by GLM-4.7 (Deep Thinking Mode) 🧠


1. stLearn

🔧 GitHub Project | Language: Python | ⭐ 241 | 🍴 29

A novel machine learning pipeline to analyse spatial transcriptomics data

AI Technical Review (深度解读)

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Description: A novel machine learning pipeline to analyse spatial transcriptomics data Topics:

README:

deepreg_logo

... --- ## 2. [scCATCH](https://github.com/ZJUFanLab/scCATCH) > 🔧 GitHub Project | **Language:** `R` | ⭐ `238` | 🍴 `36` Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data **Key Topics:** `cell-markers` `cluster-annotation` `marker-genes` `rna-seq` `sequencing` `seurat` `single-cell` `transcriptome` **AI Technical Review (深度解读)** *(AI 正在思考人生... 暂时无法解读: Error code: 401, with error text {"error":{"code":"1000","message":"身份验证失败。"}})* Description: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data Topics: cell-markers, cluster-annotation, marker-genes, rna-seq, sequencing, seurat, single-cell, transcriptome, transcriptomics README: # scCATCH v3.2.2 [![R >4.0](https://img.shields.io/badge/R-%3E%3D... --- ## 3. [iSEE](https://github.com/iSEE/iSEE) > 🔧 GitHub Project | **Language:** `R` | ⭐ `229` | 🍴 `43` R/shiny interface for interactive visualization of data in SummarizedExperiment objects **Key Topics:** `clustering` `dimension-reduction` `feature-extraction` `gene-expression` `gui` `hacktoberfest` `human-cell-atlas` `shiny` **AI Technical Review (深度解读)** *(AI 正在思考人生... 暂时无法解读: Error code: 401, with error text {"error":{"code":"1000","message":"身份验证失败。"}})* Description: R/shiny interface for interactive visualization of data in SummarizedExperiment objects Topics: clustering, dimension-reduction, feature-extraction, gene-expression, gui, hacktoberfest, human-cell-atlas, shiny, single-cell, transcriptomics, visualization README: # _iSEE_ - The interact... --- ## 4. [Investigating the short-term effects of particulate matter (PM) chemical components on mortality and the potential modifying effect of extreme temperature: A time-series analysis in London](https://arxiv.org/abs/2603.02165v1) > 📄 arXiv Paper | **Date:** `2026-03-02` | **Category:** `q-bio.QM` **Authors:** Xiaolu Zhang, Anna Font, Anja Tremper et al. **AI Research Digest (科研解读)** *(AI 暂时无法解读: Error code: 401, with error text {"error":{"code":"1000","message":"身份验证失败。"}})* Particulate matter (PM) is linked to adverse health outcomes, yet the roles of specific PM components and their modification by extreme temperature remain unclear. We examined short-term associations between ten PM chemical components and daily mortality in Greater London (2015-2018). PM components ... --- *Powered by BioF3 Auto-Bot & ZhipuAI GLM-4.7*
工具推荐 (Tool Spotlight): 2026-03-03 2026-03-03
科研解读 (Research Digest): 2026-03-04 2026-03-04

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