Manolis Kellis

TL;DR: Network Maximal Correlation is introduced as a multivariate measure of nonlinear association among random variables and its utility in a data application of learning nonlinear dependencies among genes in a cancer dataset is shown.

TL;DR: It is shown that the unbiased integration of independent data sources suggestive of regulatory interactions produces meaningful associations supported by existing functional and physical evidence, correlating with expected independent biological features.

TL;DR: Novel evidence is provided supporting the hypothesis of the potential involvement of the UPR to ER stress in the pathological pathway of AD, and more insights are given into underlying regulatory mechanisms behind the pleiotropic effects of rs12373123 in multiple degenerative diseases including AD and Parkinson’s disease.

TL;DR: In this article, the authors describe a secure system for sharing private data and related systems and methods for incentivizing and validating private data sharing. But they do not discuss how private data providers can register to selectively share private data under controlled sharing conditions.

TL;DR: This paper showed that VPS13A can also localize at ER-PM contacts via the binding of its PH domain to a cytosolic loop of XK, that such interaction is regulated by an intramolecular interaction within XK and that both PS13A and XK are highly expressed in the caudate neurons.