The ability to purify macromolecular machines in an intact, stable manner is imperative to mechanistically interrogate their function within cells and to elucidate three-dimensional (3D) structures.
This book offers a comprehensive framework for mastering the complexities of learning high-dimensional sparse graphical models through the use of conditional independence tests. These tests are ...
We present a new method for estimating multivariate, second-order stationary Gaussian Random Field (GRF) models based on the Sparse Precision matrix Selection (SPS) algorithm, proposed by Davanloo ...
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