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Supervised machine learning for microbiomics: bridging the gap between current and best practices arxiv.org/abs/2402.17621

Comparison of the Effects of Interaction with Intentional Agent and Artificial Intelligence using fNIRS arxiv.org/abs/2402.17650

Learning dynamic representations of the functional connectome in neurobiological networks arxiv.org/abs/2402.14102

Contrastive Learning of Shared Spatiotemporal EEG Representations Across Individuals for Naturalistic Neuroscience arxiv.org/abs/2402.14213

Structure-Based Drug Design via 3D Molecular Generative Pre-training and Sampling arxiv.org/abs/2402.14315

The role of gap junctions and clustered connectivity in emergent synchronisation patterns of inhibitory neuronal networks arxiv.org/abs/2402.14592

Evaluating Cognitive and Neuropsychological Assessments -- A Comprehensive Review arxiv.org/abs/2402.14655

The Architecture of Sponge Choanocyte Chambers Maximizes Mechanical Pumping Efficiency arxiv.org/abs/2402.14364 -mat.soft

Modeling methodology for the accurate and prompt prediction of symptomatic events in chronic diseases arxiv.org/abs/2402.10972

From parcels to people: development of a spatially explicit risk indicator to monitor residential pesticide exposure in agricultural areas arxiv.org/abs/2402.10990

Gradients of brain organization: Smooth sailing from methods development to user community arxiv.org/abs/2402.11055

Predicting Breast Cancer Phenotypes from Single-cell RNA-seq Data Using CloudPred arxiv.org/abs/2402.11289

Transformer-based de novo peptide sequencing for data-independent acquisition mass spectrometry arxiv.org/abs/2402.11363

DDIPrompt: Drug-Drug Interaction Event Prediction based on Graph Prompt Learning arxiv.org/abs/2402.11472

CowScape: Quantitative reconstruction of the conformational landscape of biological macromolecules from cryo-EM data arxiv.org/abs/2402.11589

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