The human microbiome, comprising microorganisms residing within and on the human
body, plays a crucial role in various physiological processes and has been linked to …

Genotype-to-phenotype mapping is an essential problem in the current genomic era. While
qualitative case-control predictions have received significant attention, less emphasis has …

MicroRNAs (miRNAs) are promising biomarkers for the early detection of disease, and many
miRNA-based diagnostic models have been constructed to distinguish patients and healthy …

Neurodegenerative diseases, such as Alzheimer's disease, pose a significant global health
challenge with their complex etiology and elusive biomarkers. In this study, we developed …

It is increasingly common to encounter prediction tasks in the biomedical sciences for which
multiple datasets are available for model training. Common approaches such as pooling …

Heterogeneity in different genomic studies compromises the performance of machine
learning models in cross-study phenotype predictions. Overcoming heterogeneity when …

We propose the “study strap ensemble”, which combines advantages of two common
approaches to fitting prediction models when multiple training datasets (“studies”) are …

Background Many miRNA-based diagnostic models have been constructed to distinguish
diseased individuals. However, due to the inherent differences across different platforms or …

A bstract We propose an interactive visual analytics approach to characterizing and
comparing patient subgroups (ie, cohorts). Despite having the same disease and similar …

In this article, I propose an approach for defining replicability for prediction rules. Motivated
by a recent report by the USA National Academy of Sciences, I start from the perspective that …