scRNA-seq has emerged as a transformative technology to characterize complex tissues and answer questions that could not be addressed using bulk RNA sequencing. Since the first scRNA-seq protocol was ...

Recent advancements in high-throughput sequencing technologies have enabled researchers to harness valuable omics data, paving the way for precision medicine. This approach aims to enhance diagnosis ...

Many modern technological challenges crucially depend on the properties of surfaces and interfaces. This includes the control of charge and energy transfer across electrode/electrolyte interfaces in ...

This course is designed for engineering graduate students who are interested in furthering their knowledge in advanced and emerging methods of engineering design, with the focus on computational ...

Data science is a broad, rapidly developing field that combines statistics and mathematics, artificial intelligence, machine learning and programming, for the extraction and structuring of knowledge ...

A computational method for finding transition states in chemical reactions, greatly reducing computational costs with high reliability, has been devised. Compared to the most widely used existing ...

Across modern data-intensive disciplines, the union of numerical computation, statistics, and machine learning has become ...