arXiv Quantitative Biology @arxiv_bio@qoto.org

Social network-based distancing strategies to flatten the COVID 19 curve in a post-lockdown world. (arXiv:2004.07052v1 [physics.soc-ph]) http://arxiv.org/abs/2004.07052

Analyzing the spatial distribution of acute coronary syndrome cases using synthesized data on arterial hypertension prevalence. (arXiv:2004.06107v1 [q-bio.QM]) http://arxiv.org/abs/2004.06107

Open Data Resources for Fighting COVID-19. (arXiv:2004.06111v1 [q-bio.OT]) http://arxiv.org/abs/2004.06111

Reports of Own and Others' Symptoms and Diagnosis on Social Media Predict COVID-19 Case Counts in Mainland China. (arXiv:2004.06169v1 [cs.SI]) http://arxiv.org/abs/2004.06169

Embedded model discrepancy: A case study of Zika modeling. (arXiv:2004.06220v1 [q-bio.PE]) http://arxiv.org/abs/2004.06220

Modeling, state estimation, and optimal control for the US COVID-19 outbreak. (arXiv:2004.06291v1 [q-bio.PE]) http://arxiv.org/abs/2004.06291

Group Testing for COVID-19: How to Stop Worrying and Test More. (arXiv:2004.06306v1 [stat.ME]) http://arxiv.org/abs/2004.06306

Public Health Policy: COVID-19 Epidemic and SEIR Model with Asymptomatic Viral Carriers. (arXiv:2004.06311v1 [q-bio.PE]) http://arxiv.org/abs/2004.06311

Hierarchical and Modularly-Minimal Vertex Colorings. (arXiv:2004.06340v1 [math.CO]) http://arxiv.org/abs/2004.06340

Modelling and docking of Indian SARS-CoV-2 spike protein 1 with ACE2: implications for co-morbidity and therapeutic intervention. (arXiv:2004.06361v1 [q-bio.BM]) http://arxiv.org/abs/2004.06361

Molecular docking and binding mode analysis of selected FDA approved drugs against COVID-19 selected key protein targets: An effort towards drug repurposing to identify the combination therapy to combat COVID-19. (arXiv:2004.06447v1 [q-bio.BM]) http://arxiv.org/abs/2004.06447

Supervised Autoencoders Learn Robust Joint Factor Models of Neural Activity. (arXiv:2004.05209v1 [stat.ML]) http://arxiv.org/abs/2004.05209

Deciphering the Protein Motion of S1 Subunit in SARS-CoV-2 Spike Glycoprotein Through Integrated Computational Methods. (arXiv:2004.05256v1 [q-bio.BM]) http://arxiv.org/abs/2004.05256

Modeling the Heterogeneity in COVID-19's Reproductive Number and its Impact on Predictive Scenarios. (arXiv:2004.05272v1 [stat.AP]) http://arxiv.org/abs/2004.05272

A critique of the Covid-19 analysis for India by Singh and Adhikari. (arXiv:2004.05373v1 [q-bio.PE]) http://arxiv.org/abs/2004.05373

Competition between slow and fast regimes for extreme first passage times of diffusion. (arXiv:2004.05414v1 [math.PR]) http://arxiv.org/abs/2004.05414

Improving Baseline Subtraction for Increased Sensitivity of Quantitative PCR Measurements. (arXiv:2004.05466v1 [q-bio.QM]) http://arxiv.org/abs/2004.05466

Stochasticity-induced stabilization in ecology and evolution: a new synthesis. (arXiv:2004.05467v1 [q-bio.PE]) http://arxiv.org/abs/2004.05467

Blind Bounded Source Separation Using Neural Networks with Local Learning Rules. (arXiv:2004.05479v1 [eess.SP]) http://arxiv.org/abs/2004.05479

Limited containment options of COVID-19 outbreak revealed by regional agent-based simulations for South Africa. (arXiv:2004.05513v1 [q-bio.PE]) http://arxiv.org/abs/2004.05513