Posts with #SingleCellAnalysis

#SingleCellAnalysis

Public posts on X that use #SingleCellAnalysis.

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  1. Bioinfocodes@bioinfocodes
    How did a miniature fish advance vertebrate mapping? Profiling 607,370 cells in Danionella cerebrum created the first adult vertebrate whole-body single-cell and spatial atlas, revealing region-driven neural organization and brain regeneration. 🧠
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  2. 10x Genomics@10xGenomics
    Data from Single Cell 3’ Solution will be presented by Dr. Cole Trapnell, expert in #singlecellanalysis - REGISTER -
    0610
  3. Standard BioTools@Standard_BioT
    We are delighted to welcome Claus Jørgensen, from @CRUK_MI, for our next Scientist in the Spotlight: He will discuss work in his recent Cancer Cell paper, "#Singlecellanalysis defines a pancreatic fibroblast lineage that supports anti-tumor #immunity”.
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  4. Ningyu Zhang@ZJU✓@zxlzr
    🚀After over a year of hard work, we’re thrilled to share InstructCell alongside our paper: "A Multi-Modal AI Copilot for Single-Cell Analysis with Instruction Following." #AI #LLM #SingleCellAnalysis #AI4Science #NLP✨ 🧬 InstructCell bridges natural language and gene expression data to enable: ✅ Cell Type Annotation ✅ Conditional Pseudo-Cell Generation ✅ Drug Sensitivity Prediction 📄 Paper: 📂 Code: 📦 Models: 1 Chat version 2 Instruct version Key Contributions of InstructCell: 1️⃣ Multi-modal Instruction Dataset: Constructs a multi-modal instruction dataset integrating gene expression profiles with biological attributes like species, tissue, and sequencing protocols, while simulating diverse traits such as personalities, motivations, and proficiency levels using LLMs. 2️⃣ Advanced Multi-modal Architecture: Develops a multi-modal architecture capable of processing interleaved natural language and gene expression data with components like a Q-Former, a pre-trained language model, and a cell reconstruction module. 3️⃣ Instruction Tuning for Multi-Modal Tasks: Extends LLM capabilities to the cell-language multi-modal space through instruction tuning, unifying understanding and generation tasks in a single framework. 📢 Let’s explore its potential in advancing #AI4Science research. We look forward to your thoughts and feedback! 🌱
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  5. Lingjun Li@LingjunLi2
    Super congrats to @Huazhang88 and coauthors on this exciting work published in @NatureComms , employing trapped ion mobility separation coupled with dual-polarity MS imaging to profile lipidome in single cells! @imaging_ms #lipidomics #SingleCellAnalysis
    Lingjun Li Research Group @LiResearch
    Our single-cell MSI lipidomics paper is now published in @NatureComms! Huge congrats to @Huazhang88, @YuanLiu34720431, @ChemLauren, @timo_huang, @Happysmilexyz68 and other authors that contributed to this paper. Check it out:
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  6. Han Lab@heesunhanlab
    The Han lab twitter is open! I am excited to share Thomas's new work on double emulsion drops, which prevent content mixing due to drop merging and maintain perfect compartmentalization! #dropletmicrofluidics #singlecellanalysis
    0117
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