An interdisciplinary team of University of Tennessee, Knoxville researchers recently published in Biophysical Journal on ...

In recent years, large-scale RNA interference (RNAi) libraries that are designed to target complete genomes have been produced for multiple organisms. When arrayed in 96- or 384-well microplates, with ...

Although population association studies are not new, there remain many areas of disagreement over appropriate statistical analyses. This article provides an overview of statistical methods, including ...

Through tumor profiling and statistical analysis, precision oncology uses genomic and other biomarkers to drive discovery, drug development, and clinical care for patients with cancer. It intends to ...

This course is a self-contained introduction to probabilistic and statistical methods used in risk management. A number of important questions and methods will be examined, including: How is the risk ...

A new statistical method provides a more efficient way to uncover biologically meaningful changes in genomic data that span multiple conditions -- such as cell types or tissues. A new statistical ...

An alternative statistical method honed and advanced by Cornell researchers can make clinical trials more reliable and trustworthy while also helping to remedy what has been called a "replicability ...

Mitchell Grant is a self-taught investor with over 5 years of experience as a financial trader. He is a financial content strategist and creative content editor. Timothy Li is a consultant, accountant ...

Due to high demand for this course, we operate a staged admissions process with multiple selection deadlines throughout the year, to maintain a fair and transparent approach. Explore our campus, meet ...

Indian American statistician to lead journal amid biosciences being transformed by powerful statistical, machine learning and ...