arXiv Quantitative Biology @arxiv_bio@qoto.org

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

Multi-view deep learning based molecule design and structural optimization accelerates the SARS-CoV-2 inhibitor discovery. (arXiv:2212.01575v1 [cs.LG]) http://arxiv.org/abs/2212.01575

Describing the evolution and perturbations to biodiversity using a simple dynamical model. (arXiv:2212.01693v1 [q-bio.PE]) http://arxiv.org/abs/2212.01693

Navigating an Ocean of Video Data: Deep Learning for Humpback Whale Classification in YouTube Videos. (arXiv:2212.00822v1 [cs.CV]) http://arxiv.org/abs/2212.00822

Viral RNA as a branched polymer. (arXiv:2212.00829v1 [physics.bio-ph]) http://arxiv.org/abs/2212.00829

Emergence of predation. (arXiv:2212.00899v1 [q-bio.PE]) http://arxiv.org/abs/2212.00899

Progress and Challenges for the Application of Machine Learning for Neglected Tropical Diseases. (arXiv:2212.01027v1 [q-bio.BM]) http://arxiv.org/abs/2212.01027

The influence of nucleus mechanics in modelling adhesion-independent cell migration in structured and confined environments. (arXiv:2212.01087v1 [math.AP]) http://arxiv.org/abs/2212.01087