Ankur Parikh TREEGL

Tree evolving networks.
Learn network by choosing one gene as Y and others as betas, then lasso to find betas predictive of Y.

Extends this by adding a second penalty which reduces the variation in the betas in two regressions, where the second regression is fit to a daughter node of the first experiment.

I.e. same cell before, during, and after treatment.

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Posted on July 18, 2011, in Uncategorized and tagged . Bookmark the permalink. Leave a comment.

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