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Scanpy scRNA-seq Normalization
In Scanpy, normalize scRNA-seq data to make cells comparable, improving HVG selection, PCA, clustering, and marker detection.
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scVI for scRNA‑seq Dataset Integration: A Practical, Probabilistic Workflow
Intro: why integrate scRNA‑seq datasets Combining datasets across labs, donors, or technologies boosts power and generalizability—but batch effects can swamp biology.…
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Connecting Lab Instruments to Internal Databases: Interfaces and Data Formats That Actually Work
Intro: Why connecting instruments to your database is harder than it looks Lab instruments speak many “dialects.” Some dump files to…
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Streamlit vs Shiny for Python: The Best Choice for Lab Apps and Dashboards
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Digital analysis of clinical trial patient records with LLMs
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MCP Server Authentication Methods: A Practical Guide
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Google A2A Protocol vs. MCP Part 2
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Google A2A Protocol vs. MCP – Part 1: Basic Concepts
Google A2A Protocol vs. MCP Google A2A Protocol vs. MCP Introduction AI systems are evolving from single large models into ecosystems…
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MCP Server that using the Client’s LLM for Translation
Building an MCP Server that Uses the Client’s LLM for Translation TL;DR: Keep your MCP server lean by delegating language tasks…
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Building LLM Tools with FastMCP
FastMCP is a powerful, minimalist framework for exposing Python functions as callable tools that can be integrated into AI agents, automation…