3 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…
eess.SY2024
Path Planning and Task Assignment for Data Retrieval from Wireless Sensor Nodes Relying on Game-Theoretic Learning
Sotiris Papatheodorou, Michalis Smyrnakis, Tembine Hamidou +1
The energy-efficient trip allocation of mobile robots employing differential drives for data retrieval from stationary sensor locations is the scope of this article. Given a team o…