Trang T. Le

This study uses TPOT to identify SNPs associated with coronary artery disease, finding 28 recurrent SNPs with functional relevance to known CAD genes and distinct clusters of predicted CAD cases.

The paper derives analytical expressions for pairwise distance distributions under Lq metrics and introduces new metrics for genetic variants and rs-fMRI data to improve nearest-neighbor methods in bioinformatics.

treeheatr provides an R package for visualizing decision trees with heatmaps at leaf nodes to illustrate feature importance and model performance.

The paper identifies statistical issues in brain age gap analysis, showing that modifying the brain age gap can inflate model accuracy statistics and suggests developing new methods to quantify deviation from normal developmental trajectories.

The paper analyzes disparities in recognition of computational biology researchers based on gender, name origin, country, and race/ethnicity.

The paper introduces NPDR, a feature selection method that detects network interactions in high-dimensional data while adjusting for multiple tests and confounding, showing improved performance over existing methods.

The paper introduces two features to TPOT, a machine learning tool, to improve its scalability and efficiency for biomedical big data analysis.

The paper proposes adjusting for chronological age in BrainAGE analysis to improve the detection of variable effects on brain aging.

The paper introduces STIR, a statistical inferential framework for Relief-based feature selection that accounts for variance in nearest neighbor distances to assess feature importance and significance in high-dimensional data.

The paper annotates gene expression for clusters of differentiation in SLE patients to enrich the CD transcriptome with upstream gene expression features.