arXiv Quantitative Biology @arxiv_bio@qoto.org

Retrieval-based Controllable Molecule Generation. (arXiv:2208.11126v1 [q-bio.QM]) http://arxiv.org/abs/2208.11126

Collective targeted migrations: a balancing act involving aggregation, group size and environmental clues: a simulation study. (arXiv:2208.11145v1 [q-bio.OT]) http://arxiv.org/abs/2208.11145

Memory capacity of adaptive flow networks. (arXiv:2208.11192v1 [cond-mat.soft]) http://arxiv.org/abs/2208.11192

POPDx: An Automated Framework for Patient Phenotyping across 392,246 Individuals in the UK Biobank Study. (arXiv:2208.11223v1 [q-bio.QM]) http://arxiv.org/abs/2208.11223

Reliability of COVID-19 data and government policies. (arXiv:2208.11226v1 [physics.soc-ph]) http://arxiv.org/abs/2208.11226

Revised calculation of the coefficient of parentage in plant breeding. (arXiv:2208.11233v1 [q-bio.PE]) http://arxiv.org/abs/2208.11233

Secondary Protein Structure Prediction Using Neural Networks. (arXiv:2208.11248v1 [cs.LG]) http://arxiv.org/abs/2208.11248

An Extension of Goldman-Hodgkin-Katz Equations by Charges from Ionic Solution and Ion Channel Protein. (arXiv:2208.11293v1 [q-bio.BM]) http://arxiv.org/abs/2208.11293

Spectrum of non-Hermitian deep-Hebbian neural networks. (arXiv:2208.11411v1 [q-bio.NC]) http://arxiv.org/abs/2208.11411

MEG-MASC: a high-quality magneto-encephalography dataset for evaluating natural speech processing. (arXiv:2208.11488v1 [q-bio.QM]) http://arxiv.org/abs/2208.11488

Predicting microsatellite instability and key biomarkers in colorectal cancer from H&E-stained images: Achieving SOTA with Less Data using Swin Transformer. (arXiv:2208.10495v1 [q-bio.QM]) http://arxiv.org/abs/2208.10495

Efficient coding of facial stimuli in primate inferotemporal cortex. (arXiv:2208.10545v1 [q-bio.NC]) http://arxiv.org/abs/2208.10545

Laminar model for the joint development of ocular dominance columns and CO blobs in V1. (arXiv:2208.10575v1 [q-bio.NC]) http://arxiv.org/abs/2208.10575

Different Spectral Representations in Optimized Artificial Neural Networks and Brains. (arXiv:2208.10576v1 [cs.LG]) http://arxiv.org/abs/2208.10576

Deriving time-averaged active inference from control principles. (arXiv:2208.10601v1 [eess.SY]) http://arxiv.org/abs/2208.10601

Three-dimensional micro-structurally informed in silico myocardium -- towards virtual imaging trials in cardiac diffusion weighted MRI. (arXiv:2208.10623v1 [physics.med-ph]) http://arxiv.org/abs/2208.10623

Therapeutic algebra of immunomodulatory drug responses at single-cell resolution. (arXiv:2208.10661v1 [q-bio.GN]) http://arxiv.org/abs/2208.10661

Beyond linear regression: mapping models in cognitive neuroscience should align with research goals. (arXiv:2208.10668v1 [q-bio.NC]) http://arxiv.org/abs/2208.10668

What deep reinforcement learning tells us about human motor learning and vice-versa. (arXiv:2208.10892v1 [q-bio.NC]) http://arxiv.org/abs/2208.10892

Physical Confinement and Cell Proximity Increase Cell Migration Rates and Invasiveness: A Mathematical Model of Cancer Cell Invasion through Flexible Channels. (arXiv:2208.10934v1 [q-bio.CB]) http://arxiv.org/abs/2208.10934