arXiv Quantitative Biology @arxiv_bio@qoto.org

Reaction-diffusion model for the arrest of oscillations in the somitogenesis segmentation clock. (arXiv:2009.02364v1 [q-bio.CB]) http://arxiv.org/abs/2009.02364

Quantifying Inaccuracies in Modeling COVID-19 Pandemic within a Continuous Time Picture. (arXiv:2009.02375v1 [physics.soc-ph]) http://arxiv.org/abs/2009.02375

Assess the impacts of human mobility change on COVID-19 dynamics in Arizona, U.S.: a modeling study incorporating Google Community Mobility Reports. (arXiv:2009.02419v1 [q-bio.PE]) http://arxiv.org/abs/2009.02419

Effect of transcription reinitiation in stochastic gene expression. (arXiv:2009.02443v1 [q-bio.MN]) http://arxiv.org/abs/2009.02443

A control theory approach to optimal pandemic mitigation. (arXiv:2009.02513v1 [q-bio.PE]) http://arxiv.org/abs/2009.02513

Vapur: A Search Engine to Find Related Protein -- Compound Pairs in COVID-19 Literature. (arXiv:2009.02526v1 [cs.IR]) http://arxiv.org/abs/2009.02526

Bayesian information-theoretic calibration of patient-specific radiotherapy sensitivity parameters for informing effective scanning protocols in cancer. (arXiv:2009.02620v1 [q-bio.QM]) http://arxiv.org/abs/2009.02620

Sensing versus adaptation in bacterial chemotaxis. (arXiv:2009.02624v1 [q-bio.CB]) http://arxiv.org/abs/2009.02624

Using multiple data streams to estimate and forecast SARS-CoV-2 transmission dynamics, with application to the virus spread in Orange County, California. (arXiv:2009.02654v1 [stat.AP]) http://arxiv.org/abs/2009.02654

Deep Learning for Automatic Spleen Length Measurement in Sickle Cell Disease Patients. (arXiv:2009.02704v1 [eess.IV]) http://arxiv.org/abs/2009.02704

PolSIRD: Modeling Epidemic Spread under Intervention Policies and an Application to the Spread of COVID-19. (arXiv:2009.01894v1 [q-bio.PE]) http://arxiv.org/abs/2009.01894

Phytoplankton temporal strategies increase entropy production in a marine food web model. (arXiv:2009.01901v1 [q-bio.PE]) http://arxiv.org/abs/2009.01901

RAMSES: A full-stack application for detecting seizures and reducing data during continuous EEG monitoring. (arXiv:2009.01920v1 [q-bio.QM]) http://arxiv.org/abs/2009.01920

Heterogeneity and Superspreading Effect on Herd Immunity. (arXiv:2009.01923v1 [q-bio.PE]) http://arxiv.org/abs/2009.01923

SimpleSBML: A Python package for creating, editing, and interrogating SBML models: Verison 2.0. (arXiv:2009.01969v1 [q-bio.MN]) http://arxiv.org/abs/2009.01969

Predicting brain evoked response to external stimuli from temporal correlations of spontaneous activity. (arXiv:2009.02038v1 [q-bio.NC]) http://arxiv.org/abs/2009.02038

Collective predator evasion: Putting the criticality hypothesis to the test. (arXiv:2009.02079v1 [q-bio.PE]) http://arxiv.org/abs/2009.02079

On the potential role of lateral connectivity in retinal anticipation. (arXiv:2009.02081v1 [q-bio.QM]) http://arxiv.org/abs/2009.02081

Protein Folding/Unfolding Phenomenon is originated by Synchronization/Desynchronization of Instantaneously Induced Oscillating Dipoles. A Hypothesis. (arXiv:2009.02107v1 [q-bio.BM]) http://arxiv.org/abs/2009.02107

Evaluating the effect of city lock-down on controlling COVID-19 propagation through deep learning and network science models. (arXiv:2009.02152v1 [q-bio.PE]) http://arxiv.org/abs/2009.02152