arXiv Quantitative Biology @arxiv_bio@qoto.org

Supervised Tractogram Filtering using Geometric Deep Learning. (arXiv:2212.03300v1 [cs.CV]) http://arxiv.org/abs/2212.03300

Enhancing Low-Density EEG-Based Brain-Computer Interfaces with Similarity-Keeping Knowledge Distillation. (arXiv:2212.03329v1 [cs.LG]) http://arxiv.org/abs/2212.03329

Quantum spin models for numerosity perception. (arXiv:2212.03344v1 [q-bio.NC]) http://arxiv.org/abs/2212.03344

When Geometric Deep Learning Meets Pretrained Protein Language Models. (arXiv:2212.03447v1 [cs.LG]) http://arxiv.org/abs/2212.03447

Dock2D: Synthetic data for the molecular recognition problem. (arXiv:2212.03456v1 [q-bio.BM]) http://arxiv.org/abs/2212.03456

Complete cavity map of the C. elegans connectome. (arXiv:2212.03660v1 [q-bio.NC]) http://arxiv.org/abs/2212.03660

Expressive architectures enhance interpretability of dynamics-based neural population models. (arXiv:2212.03771v1 [q-bio.NC]) http://arxiv.org/abs/2212.03771

BiPMAP: A Toolbox for Predictions of Perceived Motion Artifacts on Modern Displays. (arXiv:2212.03854v1 [eess.SP]) http://arxiv.org/abs/2212.03854

COmic: Convolutional Kernel Networks for Interpretable End-to-End Learning on (Multi-)Omics Data. (arXiv:2212.02504v1 [q-bio.QM]) http://arxiv.org/abs/2212.02504

Shared Differential Clustering across Single-cell RNA Sequencing Datasets with the Hierarchical Dirichlet Process. (arXiv:2212.02505v1 [q-bio.GN]) http://arxiv.org/abs/2212.02505

Algebraic network reconstruction of discrete dynamical systems. (arXiv:2212.02601v1 [q-bio.QM]) http://arxiv.org/abs/2212.02601

Systematic Analysis of Biomolecular Conformational Ensembles with PENSA. (arXiv:2212.02714v1 [q-bio.BM]) http://arxiv.org/abs/2212.02714

Improving Molecule Properties Through 2-Stage VAE. (arXiv:2212.02750v1 [cs.LG]) http://arxiv.org/abs/2212.02750

White and green rust chimneys accumulate RNA in a ferruginous chemical garden. (arXiv:2212.02793v1 [physics.geo-ph]) http://arxiv.org/abs/2212.02793

Statistical mechanics of continual learning: variational principle and mean-field potential. (arXiv:2212.02846v1 [cond-mat.stat-mech]) http://arxiv.org/abs/2212.02846

Genetic Sequence compression using Machine Learning and Arithmetic Encoding Decoding Techniques. (arXiv:2212.02864v1 [q-bio.QM]) http://arxiv.org/abs/2212.02864

Oppressed species can form a winning pair in a multi-species ecosystem. (arXiv:2212.02868v1 [q-bio.PE]) http://arxiv.org/abs/2212.02868

Muscles in Action. (arXiv:2212.02978v1 [cs.CV]) http://arxiv.org/abs/2212.02978

Predicting Drug Repurposing Candidates and Their Mechanisms from A Biomedical Knowledge Graph. (arXiv:2212.01384v1 [q-bio.QM]) http://arxiv.org/abs/2212.01384

Re-evaluating sample efficiency in de novo molecule generation. (arXiv:2212.01385v1 [cs.CE]) http://arxiv.org/abs/2212.01385