arXiv Quantitative Biology @arxiv_bio@qoto.org

The COVID-19 (SARS-CoV-2) Uncertainty Tripod in Brazil: Assessments on model-based predictions with large under-reporting. (arXiv:2006.15268v1 [q-bio.PE]) http://arxiv.org/abs/2006.15268

Spatio-temporal predictive modeling framework for infectious disease spread. (arXiv:2006.15336v1 [q-bio.PE]) http://arxiv.org/abs/2006.15336

Methodology for Modelling the new COVID-19 Pandemic Spread and Implementation to European Countries. (arXiv:2006.15385v1 [q-bio.PE]) http://arxiv.org/abs/2006.15385

Using micro- and macro-level network metrics unveils top communicative gene modules in psoriasis. (arXiv:2006.15414v1 [q-bio.GN]) http://arxiv.org/abs/2006.15414

Fast automatic segmentation of thalamic nuclei from MP2RAGE acquisition at 7 Tesla. (arXiv:2006.15460v1 [eess.IV]) http://arxiv.org/abs/2006.15460

Polymerase/nicking enzyme powered dual-template multi-cycled G-triplex machine for HIV-1 determination. (arXiv:2006.15548v1 [q-bio.QM]) http://arxiv.org/abs/2006.15548

Modelling Excess Mortality in Covid-19-like Epidemics. (arXiv:2006.15583v1 [physics.soc-ph]) http://arxiv.org/abs/2006.15583

What the reproductive number R_0 can and cannot tell us about COVID-19 dynamics. (arXiv:2006.14676v1 [q-bio.PE]) http://arxiv.org/abs/2006.14676

Active Learning Pipeline for Brain Mapping in a High Performance Computing Environment. (arXiv:2006.14684v1 [eess.IV]) http://arxiv.org/abs/2006.14684

A Computational Model of Protein Induced Membrane Morphology with Geodesic Curvature Driven Protein-Membrane Interface. (arXiv:2006.14685v1 [cond-mat.soft]) http://arxiv.org/abs/2006.14685

Machine-Learning Driven Drug Repurposing for COVID-19. (arXiv:2006.14707v1 [cs.LG]) http://arxiv.org/abs/2006.14707

Prediction of the Number of COVID-19 Confirmed Cases Based on K-Means-LSTM. (arXiv:2006.14752v1 [q-bio.PE]) http://arxiv.org/abs/2006.14752

Drug Repurposing to find Inhibitors of SARS-CoV-2 Main Protease. (arXiv:2006.14790v1 [q-bio.BM]) http://arxiv.org/abs/2006.14790

Deep Predictive Learning in Neocortex and Pulvinar. (arXiv:2006.14800v1 [q-bio.NC]) http://arxiv.org/abs/2006.14800

Numerical considerations about the SIR epidemic model with infection age. (arXiv:2006.14861v1 [q-bio.PE]) http://arxiv.org/abs/2006.14861

Water Dynamics Around Proteins: T- and R-States of Hemoglobin and Melittin. (arXiv:2006.14905v1 [physics.chem-ph]) http://arxiv.org/abs/2006.14905

A metabolomic measure of energy metabolism moderates how an inflammatory miRNA relates to rs-fMRI network and motor control in football athletes. (arXiv:2006.14930v1 [q-bio.QM]) http://arxiv.org/abs/2006.14930

Optimal Control Concerns Regarding the COVID-19 (SARS-CoV-2) Pandemic in Bahia and Santa Catarina, Brazil. (arXiv:2006.14108v1 [physics.soc-ph]) http://arxiv.org/abs/2006.14108

Shut and re-open: the role of schools in the spread of COVID-19 in Europe. (arXiv:2006.14158v1 [q-bio.PE]) http://arxiv.org/abs/2006.14158

Geometric Prediction: Moving Beyond Scalars. (arXiv:2006.14163v1 [cs.LG]) http://arxiv.org/abs/2006.14163