arXiv Quantitative Biology @arxiv_bio@qoto.org

Holographic Cell Stiffness Mapping Using Acoustic Stimulation. (arXiv:2102.07480v1 [physics.bio-ph]) http://arxiv.org/abs/2102.07480

A stochastic SIR model for the analysis of the COVID-19 Italian epidemic. (arXiv:2102.07566v1 [q-bio.PE]) http://arxiv.org/abs/2102.07566

Cerebral cortical communication overshadows computational energy-use, but these combine to predict synapse number. (arXiv:2102.06273v1 [q-bio.NC]) http://arxiv.org/abs/2102.06273

Control of COVID-19 dynamics through a fractional-order model. (arXiv:2102.06421v1 [math.OC]) http://arxiv.org/abs/2102.06421

Leveraging Global Parameters for Flow-based Neural Posterior Estimation. (arXiv:2102.06477v1 [stat.ML]) http://arxiv.org/abs/2102.06477

A General Model of Structured Cell Kinetics. (arXiv:2102.06490v1 [q-bio.CB]) http://arxiv.org/abs/2102.06490

Robust and integrative Bayesian neural networks for likelihood-free parameter inference. (arXiv:2102.06521v1 [stat.ML]) http://arxiv.org/abs/2102.06521

Comparison of Machine Learning Classifiers to Predict Patient Survival and Genetics of GBM: Towards a Standardized Model for Clinical Implementation. (arXiv:2102.06526v1 [q-bio.QM]) http://arxiv.org/abs/2102.06526

A Philosophical Understanding of Representation for Neuroscience. (arXiv:2102.06592v1 [q-bio.NC]) http://arxiv.org/abs/2102.06592

Model-based Prediction and Optimal Control of Pandemics by Nonpharmaceutical Interventions. (arXiv:2102.06609v1 [math.OC]) http://arxiv.org/abs/2102.06609

The art of molecular computing: whence and whither. (arXiv:2102.06629v1 [q-bio.BM]) http://arxiv.org/abs/2102.06629

A multiscale model of vascular function in chronic thromboembolic pulmonary hypertension. (arXiv:2102.06676v1 [q-bio.TO]) http://arxiv.org/abs/2102.06676

Quasi-stationary distributions of multi-dimensional diffusion processes. (arXiv:2102.05785v1 [math.PR]) http://arxiv.org/abs/2102.05785

Suppressing evolution through environmental switching. (arXiv:2102.05813v1 [q-bio.PE]) http://arxiv.org/abs/2102.05813

Brain Modelling as a Service: The Virtual Brain on EBRAINS. (arXiv:2102.05888v1 [cs.CE]) http://arxiv.org/abs/2102.05888

Visualizing hierarchies in scRNA-seq data using a density tree-biased autoencoder. (arXiv:2102.05892v1 [q-bio.QM]) http://arxiv.org/abs/2102.05892

Assessment of intra-tumor heterogeneity in a two-dimensional vascular tumor growth model. (arXiv:2102.05937v1 [q-bio.PE]) http://arxiv.org/abs/2102.05937

Global multivariate model learning from hierarchically correlated data. (arXiv:2102.06036v1 [cond-mat.dis-nn]) http://arxiv.org/abs/2102.06036

Artificial Intelligence based Autonomous Molecular Design for Medical Therapeutic: A Perspective. (arXiv:2102.06045v1 [cs.LG]) http://arxiv.org/abs/2102.06045

ParaVS: A Simple, Fast, Efficient and Flexible Graph Neural Network Framework for Structure-Based Virtual Screening. (arXiv:2102.06086v1 [q-bio.BM]) http://arxiv.org/abs/2102.06086