High-dimensional -omics data such as genomic, transcriptomic, and metabolomic data offer great promise in advancing precision medicine. In particular, such data have enabled the investigation of ...

A method was developed for discovering and validating therapeutically relevant patient subsets using a new paradigm on the basis of predictive classification rather than multiple hypothesis testing. A ...

Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...

A cell’s morphology comprises vast amounts of information on cell health and differentiation state and yields insight into cell phenotype. Biologists utilize this information on a daily basis to aid ...

Symmetries in nature make things beautiful; symmetries in data make data handling efficient. However, the complexity of identifying such patterns in data has always bedeviled researchers. Scientists ...