2 papers
q-bio.QM2026
Structured Gaussian Processes for Uncertainty-Aware Classification of High-Dimensional, Small-Sampled Omics Data
Yue Zhang, Nandini Amit Gadhia, Georgios Karagiannis +1
Classifying heterogeneous omics data remains a fundamental challenge in computational biology, particularly in high-dimensional, small-sample settings where nonlinear interactions…
q-bio.QM2024
A novel approach to differential expression analysis of co-occurrence networks for small-sampled microbiome data
Nandini Gadhia, Michalis Smyrnakis, Po-Yu Liu +6
Graph-based machine learning methods are useful tools in the identification and prediction of variation in genetic data. In particular, the comprehension of phenotypic effects at t…