A Python framework for the analysis of GWAS data with special focus on explainable artificial intelligence. Developed by Alexandre Rozier and Bettina Mieth.
A Python framework for the analysis of GWAS data with special focus on explainable artificial intelligence. Developed by Alexandre Rozier and Bettina Mieth.
A Python framework implementing the DeepCOMBI method, a neural-network-based approach to identify SNP-trait associations in GWAS datasets.
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Claim DeepCombiAnthropic's Claude Opus 5 model is now integrated into GitHub Copilot. The model is optimized for complex, long-running coding tasks such as autonomous code changes and regression verification. It includes enhanced safeguards for cyber-related content and is available to Copilot Pro+, Max, Business, and Enterprise users across various interfaces including VS Code, Copilot CLI, and GitHub Mobile.
The GitHub MCP Server now supports the upcoming stateless Model Context Protocol (MCP) specification. The update includes architectural changes such as the removal of Redis sessions and a new implementation for URL elicitation, designed to improve scalability and connection performance. These updates are intended to maintain compatibility ahead of the protocol's official release on July 28, 2026.
The GitHub Copilot cloud agent for Linear is now generally available. Users can assign Linear issues to the agent, which analyzes content, drafts pull requests, and provides progress updates directly within the Linear activity timeline. The integration offers controls for model selection, custom agents, and branch settings, and is available for Copilot Pro, Pro+, Business, and Enterprise subscriptions.
