arXiv Quantitative Biology @arxiv_bio@qoto.org

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

iEnhancer-ELM: Improve Enhancer Identification by Extracting Multi-scale Contextual Information based on Enhancer Language Models. (arXiv:2212.01495v1 [q-bio.GN]) http://arxiv.org/abs/2212.01495

TIDAL: Topology-Inferred Drug Addiction Learning. (arXiv:2212.01497v1 [q-bio.BM]) http://arxiv.org/abs/2212.01497

Space is a latent sequence: Structured sequence learning as a unified theory of representation in the hippocampus. (arXiv:2212.01508v1 [q-bio.NC]) http://arxiv.org/abs/2212.01508

Prototype matching: children's preference for forming scientific concepts. (arXiv:2212.01535v1 [q-bio.NC]) http://arxiv.org/abs/2212.01535

Detection of brain activations induced by naturalistic stimuli in a pseudo model-driven way. (arXiv:2212.01542v1 [q-bio.NC]) http://arxiv.org/abs/2212.01542

Eigenvalue spectral properties of sparse random matrices obeying Dale's law. (arXiv:2212.01549v1 [q-bio.NC]) http://arxiv.org/abs/2212.01549