Ludwig Boltzmann Institute for Cancer Research

Applying principal component analysis to identify underlying factors of key performance indicators from microsensor data in basketball games

The present study applied Principal Component Analysis (PCA) to complex microsensor data from 28 elite professional male basketball players across 122 games (1205 player/game samples) during two basketball seasons to reduce data dimensionality and identify underlying factors rela...

Histological aging signatures for monitoring tissue-specific aging and disease

Aging is the primary risk factor for chronic disease and is characterized by profound structural and architectural remodeling of human tissues. Here, we present a comprehensive assessment of these changes using 25,712 whole-slide histopathological images from 40 tissue types acro...