arXiv Quantitative Biology @arxiv_bio@qoto.org

Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations. (arXiv:2004.01254v1 [cs.NE]) http://arxiv.org/abs/2004.01254

AI4COVID-19: AI Enabled Preliminary Diagnosis for COVID-19 from Cough Samples via an App. (arXiv:2004.01275v1 [eess.AS]) http://arxiv.org/abs/2004.01275

Generalized inverse-Gaussian frailty models with application to TARGET neuroblastoma data. (arXiv:2004.01292v1 [stat.ME]) http://arxiv.org/abs/2004.01292

Different scenarios in the Dynamics of SARS-Cov-2 Infection: an adapted ODE model. (arXiv:2004.01295v1 [q-bio.PE]) http://arxiv.org/abs/2004.01295

Electrostatic precipitation of exhaled particles for tensiometric examination of pulmonary surfactant. (arXiv:2004.01399v1 [q-bio.TO]) http://arxiv.org/abs/2004.01399

Splitting methods for ecological modelling of vegetal metacommunities. (arXiv:2004.01417v1 [math.PR]) http://arxiv.org/abs/2004.01417

An alternating lock-down strategy for sustainable mitigation of COVID-19. (arXiv:2004.01453v1 [q-bio.PE]) http://arxiv.org/abs/2004.01453

Self-Organized Criticality in an Epidemic Spread Model. (arXiv:2004.00682v1 [physics.soc-ph]) http://arxiv.org/abs/2004.00682

Forecasting COVID 19 growth in India using Susceptible-Infected-Recovered (S.I.R) model. (arXiv:2004.00696v1 [q-bio.PE]) http://arxiv.org/abs/2004.00696

Coronavirus SARS-CoV-2: Analysis of subgenomic mRNA transcription, 3CLpro and PL2pro protease cleavage sites and protein synthesis. (arXiv:2004.00746v1 [q-bio.GN]) http://arxiv.org/abs/2004.00746

A County-level Dataset for Informing the United States' Response to COVID-19. (arXiv:2004.00756v1 [cs.CY]) http://arxiv.org/abs/2004.00756

Skepticism and rumor spreading: the role of spatial correlations. (arXiv:2004.00777v1 [physics.soc-ph]) http://arxiv.org/abs/2004.00777

Efficient network immunization under limited knowledge. (arXiv:2004.00825v1 [physics.soc-ph]) http://arxiv.org/abs/2004.00825

Inference of population genetic parameters with a biallelic mutation drift model using the coalescent, diffusion with orthogonal polynomials, and the Moran model. (arXiv:2004.00834v1 [q-bio.PE]) http://arxiv.org/abs/2004.00834

Detecting Suspected Epidemic Cases Using Trajectory Big Data. (arXiv:2004.00908v1 [stat.AP]) http://arxiv.org/abs/2004.00908

A comparative study between discrete and continuum models for the evolution of competing phenotype-structured cell populations in dynamical environments. (arXiv:2004.00914v1 [q-bio.PE]) http://arxiv.org/abs/2004.00914

Power-law distribution in the number of confirmed COVID-19 cases. (arXiv:2004.00940v1 [q-bio.PE]) http://arxiv.org/abs/2004.00940

Perception of emergent epidemic of COVID-2019 / SARS CoV-2 on the Polish Internet. (arXiv:2004.00005v1 [cs.SI]) http://arxiv.org/abs/2004.00005

Strong correlations between power-law growth of COVID-19 in four continents and the inefficiency of soft quarantine strategies. (arXiv:2004.00044v1 [physics.soc-ph]) http://arxiv.org/abs/2004.00044

Explosive Proofs of Mathematical Truths. (arXiv:2004.00055v1 [cs.SC]) http://arxiv.org/abs/2004.00055