Faculty in the Statistics in Genomics and Genetics Hub develop statistical and computational methods for analyzing high-throughput genomic and epigenomic data to advance biological discovery in cancer ...

Published as an arXiv preprint, the paper details how unsupervised and self-supervised AI models are matching or surpassing ...

Sparse Principal Component Analysis (sparse PCA) represents a significant advance in the field of dimensionality reduction for high-dimensional data. Unlike conventional Principal Component Analysis ...

Priya Hays, Hays Documentation Specialists, LLC, discusses biomarker discovery through artificial intelligence and ...

A cutting-edge genomic model reveals where your Salmonella risk really lies—spotlighting chicken and veggies as major sources and reshaping how we tackle foodborne illness. Study: Attribution of ...

In an effort to foster progress in cancer research, the National Institute of Standards and Technology (NIST) is releasing detailed and comprehensive data about the entire genetic content of a ...

In the face of climate change, apple breeding programs need innovative ways to select cultivars that can thrive under diverse conditions. A recent study demonstrates how integrating genomic data with ...