Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...
A novel F-actin-binding motif consisting of an α-helix hairpin from a Legionella pneumophila lysine fatty acyltransferase has the potential to be developed as an F-actin probe.
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