Normalizing out the 1st and more components from the data. This is usefull if the data is seperated in its first component(s) by unwanted or biased variance. Such as sex or experiment location etc.

In brief: we will go through the syntax of sklearn's PCA module, and analyze a real-world dataset of turtle shell sizes. This tutorial focuses on the syntax, not the theory. No turtle was harmed in ...

SeqPCA-Lite is a lightweight, Python-based pipeline designed for the rapid filtering and sequence-space exploration of enzyme candidates (e.g., esterases, α/β-hydrolases) mined from large databases ...