Single-cell RNA-seq AI analysis has become the default way to make sense of the millions of expression measurements a single experiment can now generate. Turning raw sequencing counts into ...
A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...
The Cuban writer and former political prisoner, Ariel Hidalgo, shared his harrowing experience in an interview with CiberCuba about the forced labor conditions in the Military Units to Aid Production ...
UMAP is a fairly flexible non-linear dimension reduction algorithm. It seeks to learn the manifold structure of your data and find a low dimensional embedding that preserves the essential topological ...
Portfolio project focused on unsupervised Machine Learning using the UCI Wine Quality dataset. The project applies clustering and dimensionality reduction techniques to discover natural groups in wine ...
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