arXiv Quantitative Biology @arxiv_bio@qoto.org

PolyLinkR: A linkage-sensitive gene set enrichment R package. (arXiv:2004.03224v1 [q-bio.GN]) http://arxiv.org/abs/2004.03224

Characterizing Halloumi cheese bacterial communities through metagenomic analysis. (arXiv:2004.01710v1 [q-bio.GN]) http://arxiv.org/abs/2004.01710

Analyzing the World-Wide Impact of Public Health Interventions on the Transmission Dynamics of COVID-19. (arXiv:2004.01714v1 [q-bio.PE]) http://arxiv.org/abs/2004.01714

Accounting for Symptomatic and Asymptomatic in a SEIR-type model of COVID-19. (arXiv:2004.01805v1 [q-bio.PE]) http://arxiv.org/abs/2004.01805

A Diffusion-Based Embedding of the Stochastic Simulation Algorithm in Continuous Space. (arXiv:2004.01810v1 [physics.chem-ph]) http://arxiv.org/abs/2004.01810

DNA Methylation Data to Predict Suicidal and Non-Suicidal Deaths: A Machine Learning Approach. (arXiv:2004.01819v1 [q-bio.GN]) http://arxiv.org/abs/2004.01819

Neurosciences and 6G: Lessons from and Needs of Communicative Brains. (arXiv:2004.01834v1 [eess.SP]) http://arxiv.org/abs/2004.01834

Facultative predation can alter the ant-aphid population. (arXiv:2004.01966v1 [q-bio.PE]) http://arxiv.org/abs/2004.01966

COVID-19: Development of A Robust Mathematical Model and Simulation Package with Consideration for Ageing Population and Time Delay for Control Action and Resusceptibility. (arXiv:2004.01974v1 [q-bio.PE]) http://arxiv.org/abs/2004.01974

Stochastic and nonstochastic descriptions of the 2019-2020 measles outbreak worldwide with an emphasis in Mexico. (arXiv:2004.02006v1 [q-bio.PE]) http://arxiv.org/abs/2004.02006

Steady-state fluctuations of a genetic feedback loop with fluctuating rate parameters using the unified colored noise approximation. (arXiv:2004.02011v1 [q-bio.SC]) http://arxiv.org/abs/2004.02011

Estimation of population infected by Covid-19 using regression Generalized logistics and optimization heuristics. (arXiv:2004.01207v1 [q-bio.PE]) http://arxiv.org/abs/2004.01207

Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models. (arXiv:2004.01215v1 [cs.LG]) http://arxiv.org/abs/2004.01215

Metropolitan-scale COVID-19 outbreaks: how similar are they?. (arXiv:2004.01248v1 [q-bio.PE]) http://arxiv.org/abs/2004.01248

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