To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...
The study of condition numbers and perturbation analysis in least squares problems has become a cornerstone in numerical linear algebra, underpinning the reliability and accuracy of solutions to ...
The rapid development of single-cell RNA sequencing technologies has made it possible to study the impact of external perturbations on gene expression at the level of individual cells. However, in ...
(A) Workflow of network perturbation analysis using gene expression data from EC and normal tissues. Our approach leverages the principle that physiological gene regulatory networks maintain ...
In modern functional genomics, understanding how specific genes control cellular behavior requires both targeted intervention and high-resolution analysis. That’s where Perturb-Seq comes in—a method ...
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