Peter J. Mucha

Redundancy protects processing speed in healthy individuals with accelerated brain aging

The paper investigates whether redundancy in brain networks protects cognitive function in individuals with accelerated brain aging, finding that redundancy in the dorsal attention network is positively associated with processing speed in those with a positive brain-age gap.

Age-related changes in network controllability are mitigated by redundancy in large-scale brain networks

This study examines age-related changes in brain network controllability using diffusion MRI data and finds that redundancy mitigates these changes and supports cognitive function.

A robust core architecture of functional brain networks supports topological resilience and cognitive performance in aging

The paper examines how robust core brain network connectivity in the frontoparietal control network correlates with cognitive performance in aging individuals.

Differential Compositional Variation FeatureSelection: A Machine Learning Framework with LogRatios for Compositional Metagenomic Data

This paper introduces DiCoVarML, a machine learning framework for metagenomic data that uses log ratios to improve classification accuracy through differential compositional variation feature selection.

FastPG: Fast clustering of millions of single cells

FastPG improves single-cell clustering speed by 27x while maintaining accuracy over existing methods like FlowSOM and PARC.