In data analysis and machine learning practice, "dimensionality reduction" is an essential technique for visualizing high-dimensional data and as a preprocessing step for clustering. Representative ...

Leiden clusters were identified using PhenoGraph (number of neighbours = 25, number of principal components = 26). b, The relative abundances of immune cells per cluster. Cell identities were assigned ...

This important work employed a recent functional muscle network analysis to evaluate rehabilitation outcomes in post-stroke patients. The research direction is relevant and supported by solid evidence ...

By automating the mundane feature extraction and using PCA to handle the "curse of dimensionality," I was able to focus on the high-level orchestration: >The Tech: XGBoost, Random Forest, and ...

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The number of agents isn't the headline. Marmot is not just a catalog of agents. Marmot is an enterprise-grade multiagent analytics copilot built to complete complex healthcare analysis end to end: ...