『改訂 独習Pythonバイオ情報解析』が本日発行🎉 データの取り扱いや可視化など，汎用的なPythonの使い方から，シングルセル，RNA-seq解析までバイオインフォの基礎が身につく入門書💻 改訂では，Scanpyの詳しい解説，生成AI活用のコツなど今知りたいテーマも追加😀 https://t.co/efP3ryJdhN

Our Google #ColabNotebook is one way you can explore the #MERFISH Mouse #Liver #Dataset. It shows how to perform #SingleCellClustering, #SpatialAnalysis, and more! Start exploring today: https://t.co/GgMWWaWudI #MERSCOPE #SCANPY #UMAP #AlphaShape #AcademicTwitter

#MERSCOPE experiments create a vast amount of #SpatialData! Stop by our #SciPy2023 poster tonight at 6PM CDT to learn about our #CORMERANTlibrary that helps researchers navigate complex #MERFISH datasets. Learn more: https://t.co/2cOaKpqoem #SCANPY #Squidpy @scverse_team

PDFs are static. Agents are alive. Paper2Agent hints at a future where discoveries are interactive. Where AlphaFold could talk to Scanpy. Where methods become APIs. Honestly, this might be what “AI co-scientists” actually looks like.

Watch our #TutorialVideo that guides you through the #Jupyter #ColabNotebook containing our #OpenAccess #MERFISH #MouseBrain Receptor Map: https://t.co/jq1zwGIF92 #DataVisualization #SingleCell #SpatialAnalysis #DeckGL #observable_jupyter #UMAP #SCANPY #ComputationalBiology

【新記事公開！】 【シングルセル】Scanpyを用いて各クラスターに自動で細胞種を割り当てる【scRNA-seq】 https://t.co/AslL1AdHNx Pythonを使って、細胞アノテーションにチャレンジしてみませんか？　 Rで使われるsingleRよりも詳細にラベリングできますよ！ ぜひトライしてみてください！

【新記事公開！】 【シングルセル】空間トランスクリプトーム解析の始め方【Scanpy】 https://t.co/QbIpdabDo4 シングルセルで空間トランスクリプトーム解析を始める方法をScanpyライブラリを使って解説しています！ ぜひこれを機に空間トランスクリプトーム解析を試してみてください！

うう、scanpy（と言うかpython）の解析に慣れてなくて辛い ってか数式は勘弁して欲しいのよ🫠

The manuscript points out that the default Seurat and Scanpy pipelines do not yield identical clustering results. For example, this plot (Fig 1D) shows that many clusters are conserved, but some cell labels do vary between Seurat and scanpy

Here’s how it works (and this part is wild): It reads the paper, grabs the GitHub repo, builds the environment, figures out the methods, then wraps everything as an MCP server. That’s a protocol any LLM (Claude, GPT, Gemini) can talk to. So you just ask: “Run the Scanpy

Excited to share ehrapy, our data & software framework for exploratory electronic health record (EHR) analysis. Led by @LukasHeumos and inspired by scanpy, we enable vendor-independent exploratory end-to-end analysis of EHR data. https://t.co/nKKEpe2sly https://t.co/CJRIsM8jzi

【いよいよ本日発売です‼】 『実験デザインからわかる　シングルセル研究実践テキスト』 シングルセル研究を始めることになったら？ 実験計画のポイント，サンプル調製，Seurat，Scanpyなど解析ソフトの実例コードや，外注の検討事項まで！ ���体の流れを把握して即戦力をつけたいあなたにオススメ❗

Another example of the different results one gets from a Scanpy vs. Seurat analysis, in this case a Visium HD dataset from https://t.co/15UEMkd12r 13 vs. 20 clusters. And qualitatively different results, corroborating what we saw in https://t.co/rVOiR847CY

scRNA-seq data sets exploding in number and size - check out scanpy & anndata for >1b cells: new experimental update includes APIs for scaling with dask from anndata, integrated with lots of scanpy and rapids-singlecell functions. https://t.co/rd2hH1lAy8

Launching GPU-enabled + programmable single cell dashboards for large scale operations and plotting with scanpy / seurat objects. Fitting panoramic backdrop of the biotech capital of the world.

ポアソンと正規分布のKL-divergenceをμを変数としてプロットしてみた こうなると、平均発現量が10前後あればt検定でもそれなりに発現量の比較ができるかな？ 本当はノンパラメトリック検定のほうが良いんだろうけど、scanpyの基本設定ってt検定なんだよね

It's just a test, just trying to get Biology + ML I performed comprehensive single-cell RNA-seq analysis on 3k PBMCs using a robust computational pipeline implemented in Python with scanpy.

🧬 scRNA-seq annotation is fundamental, but it can take weeks! ⬇️ Biomni is an AI agent that gets it done in minutes by writing scanpy/umap code, searching literature/databases, and applying biological reasoning. Try it free on your scRNA dataset at https://t.co/iIpuNtA1SD ⚡

🤝Excited to announce @scverse_team X @ProjectBiomni! Biomni now supports 10 core scverse packages—including scanpy, squidpy, scirpy, and pertpy—enabling researchers to perform single-cell, spatial, and perturbation analyses using natural language. https://t.co/wXf1uUxurF