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arXiv Machine Learning By Yue Zhang, Nandini Amit Gadhia, Georgios Karagiannis, Michalis Smyrnakis

Structured Gaussian Processes for Uncertainty-Aware Classification of High-Dimensional, Small-Sampled Omics Data

Read the original on arXiv Machine Learning →

arXiv:2607. 02103v1 Announce Type: cross Abstract: Classifying heterogeneous omics data remains a fundamental challenge in computational biology, particularly in high-dimensional, small-sample settings where nonlinear interactions dominate and class imbalance further complicates reliable prediction of minority phenotypes.

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