arXiv Quantitative Biology @arxiv_bio@qoto.org

Dynamics-informed deconvolutional neural networks for super-resolution identification of regime changes in epidemiological time series. (arXiv:2209.07802v1 [cs.LG]) http://arxiv.org/abs/2209.07802

Nonequilibrium Modeling of the Elementary Step in PDZ3 Allosteric Communication. (arXiv:2209.07829v1 [physics.bio-ph]) http://arxiv.org/abs/2209.07829

Reconstruction of Three-dimensional Scroll Wave Chaos in Opaque and Transparent Excitable Media using Deep Neural Networks. (arXiv:2209.06860v1 [q-bio.TO]) http://arxiv.org/abs/2209.06860

Deep learning in a bilateral brain with hemispheric specialization. (arXiv:2209.06862v1 [q-bio.NC]) http://arxiv.org/abs/2209.06862

Sketch of a novel approach to a neural model. (arXiv:2209.06865v1 [q-bio.NC]) http://arxiv.org/abs/2209.06865

Bioeconomic analysis of harvesting within a predator-prey system: A case study in the Chesapeake Bay fisheries. (arXiv:2209.06944v1 [q-bio.PE]) http://arxiv.org/abs/2209.06944

An Automated Process for 2D and 3D Finite Element Overclosure and Gap Adjustment using Radial Basis Function Networks. (arXiv:2209.06948v1 [q-bio.QM]) http://arxiv.org/abs/2209.06948

Mixing times for two classes of stochastically modeled reaction networks. (arXiv:2209.06988v1 [math.PR]) http://arxiv.org/abs/2209.06988

Brain Imaging Generation with Latent Diffusion Models. (arXiv:2209.07162v1 [eess.IV]) http://arxiv.org/abs/2209.07162

Morphogen gradient formation in partially absorbing media. (arXiv:2209.07290v1 [cond-mat.stat-mech]) http://arxiv.org/abs/2209.07290

Encounter-based model of a run-and-tumble particle. (arXiv:2209.07293v1 [cond-mat.stat-mech]) http://arxiv.org/abs/2209.07293

Widely Used and Fast De Novo Drug Design by a Protein Sequence-Based Reinforcement Learning Model. (arXiv:2209.07405v1 [q-bio.BM]) http://arxiv.org/abs/2209.07405

Predicting probability distributions for cancer therapy drug selection optimization. (arXiv:2209.06211v1 [q-bio.QM]) http://arxiv.org/abs/2209.06211

Automated detection of pronunciation errors in non-native English speech employing deep learning. (arXiv:2209.06265v1 [eess.AS]) http://arxiv.org/abs/2209.06265

Sneak peek at the tig sequences: useful sequences built from nucleic acid data. (arXiv:2209.06318v1 [q-bio.OT]) http://arxiv.org/abs/2209.06318

Deep Speech Synthesis from Articulatory Representations. (arXiv:2209.06337v1 [eess.AS]) http://arxiv.org/abs/2209.06337

COVID-19 Regional Waves and Spread Risk Assessment through the Analysis of the Initial Outbreak in Guatemala. (arXiv:2209.06348v1 [q-bio.PE]) http://arxiv.org/abs/2209.06348

Robust ab initio solution of the cryo-EM reconstruction problem at low resolution with small data sets. (arXiv:2209.06420v1 [math.NA]) http://arxiv.org/abs/2209.06420

The non-perturbative phenomenon for the Crow Kimura model with stochastic resetting. (arXiv:2209.06479v1 [q-bio.PE]) http://arxiv.org/abs/2209.06479

Clinicopathological correlation of p40/TTF1 co-expression in NSCLC and review of related literature. (arXiv:2209.06504v1 [q-bio.TO]) http://arxiv.org/abs/2209.06504