Coronary artery obstruction is a rare but devastating complication of transcatheter aortic valve replacement. Current techniques (transcatheter leaflet modification or snorkel stenting) cannot prevent ...
Gaussian Graphical Models (GGMs) are a type of network modeling that uses partial correlation rather than correlation for representing complex relationships among multiple variables. The advantage of ...
Our studies reported a novel heat shock inducible CRISPR (clustered regularly interspaced short palindromic repeats)-based vector system for conditional, tissue-specific gene ablation in zebrafish.
Biological networks are often inferred through Gaussian graphical models (GGMs) using gene or protein expression data only. GGMs identify conditional dependence by estimating a precision matrix ...
ArXiV version: McKenna, Ryan, Daniel Sheldon, and Gerome Miklau. "Graphical-model based estimation and inference for differential privacy." In Proceedings of the 36th ...
Although identifying cell names in dense image stacks is critical in analyzing functional whole-brain data enabling comparison across experiments, unbiased identification is very difficult, and relies ...
Abstract: Zero crossings are a practical and efficient feature to approximate the frequency of a sampled series of data. Some research describes in different ways how to compute the zero crossings ...
Biomolecules, such as proteins or nucleic acids, can adopt a number of molecular configurations, which grow exponentially with their size. Since conformation change drives biological function, ...
Copyright: © 2019 The Author(s). Published by Elsevier Ltd.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results