The world of cells is surprisingly noisy. Each cell carries unique genetic information, but when we try to measure cellular ...

In single-cell data analysis, both technical noise (introduced during measurement) and batch noise (arising from differences in experimental conditions or equipment) can obscure true cellular ...

Analysis of variance (ANOVA) is a statistical analysis tool that separates total variability found within a data set into two components: random and systematic factors.

In an increasingly interconnected world, the field of social systems and human interaction analysis is pivotal for addressing ...

The process of updating deep learning/AI models when they face new tasks or must accommodate changes in data can have significant costs in terms of computational resources and energy consumption.

New research led by EECS PhD Student Kaicheng Zhang has been featured in an news article, titled, "A Machine Learning Cooldown for the Data Center" by The Computation Institute (CI). The joint project ...

Building on previous data studying organoids derived from patients with neuropsychiatric disorders, this computational model can differentiate between signals ...