What can the brain teach us about building artificial intelligence?. (arXiv:1909.01561v1 [cs.AI]) http://arxiv.org/abs/1909.01561
Symmetry and the salience of textures. (arXiv:1909.01689v1 [q-bio.NC]) http://arxiv.org/abs/1909.01689
Simulation and computational analysis of multiscale graph agent-based tumor model. (arXiv:1909.01711v1 [cs.MA]) http://arxiv.org/abs/1909.01711
Using Contextual Information to Improve Blood Glucose Prediction. (arXiv:1909.01735v1 [stat.ML]) http://arxiv.org/abs/1909.01735
Computation Protein Design instances with small tree-width: selection based on coarse approximated 3D average position volume. (arXiv:1909.01803v1 [cs.CE]) http://arxiv.org/abs/1909.01803
Antibacterial and antifungal activity of various extracts of Bacopa monnieri. (arXiv:1909.01856v1 [q-bio.OT]) http://arxiv.org/abs/1909.01856
Brain Energetics, Mitochondria, and Traumatic Brain Injury. (arXiv:1909.00012v1 [q-bio.CB]) http://arxiv.org/abs/1909.00012
High-resolution 3D refractive index microscopy of multiple-scattering samples from intensity images. (arXiv:1909.00023v1 [eess.IV]) http://arxiv.org/abs/1909.00023
Limit theorems for generalized density-dependent Markov chains and bursty stochastic gene regulatory networks. (arXiv:1909.00038v1 [math.PR]) http://arxiv.org/abs/1909.00038
Macroscopic limits, analytical distributions, and noise structure for stochastic gene expression with coupled feedback loops. (arXiv:1909.00042v1 [q-bio.MN]) http://arxiv.org/abs/1909.00042
Bayesian Uncertainty Quantification for Systems Biology Models Parameterized Using Qualitative Data. (arXiv:1909.00072v1 [stat.ME]) http://arxiv.org/abs/1909.00072
Neural Architecture Search for Joint Optimization of Predictive Power and Biological Knowledge. (arXiv:1909.00337v1 [stat.ML]) http://arxiv.org/abs/1909.00337
Quantitative analysis of the dynamics of maternal gradients of the early Drosophila embryo. (arXiv:1909.00404v1 [q-bio.QM]) http://arxiv.org/abs/1909.00404
How to orient cells in micro-cavities for high resolution imaging of cytokinesis and lumen formation. (arXiv:1909.00454v1 [q-bio.QM]) http://arxiv.org/abs/1909.00454
Self-assembly of a dimer system. (arXiv:1909.00455v1 [physics.bio-ph]) http://arxiv.org/abs/1909.00455
An Efficient Convolutional Neural Network for Coronary Heart Disease Prediction. (arXiv:1909.00489v1 [q-bio.QM]) http://arxiv.org/abs/1909.00489
Hydrodynamic Effects on the Motility of Crawling Eukaryotic Cells. (arXiv:1908.11374v1 [q-bio.CB]) http://arxiv.org/abs/1908.11374
Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture. (arXiv:1908.11399v1 [eess.IV]) http://arxiv.org/abs/1908.11399
Two errors and two problems in a recent paper: gazenet: End-to-end eye-movement event detection with deep neural networks (Zemblys, Niehorster, and Holmqvist, 2019). (arXiv:1908.11436v1 [q-bio.QM]) http://arxiv.org/abs/1908.11436
Sleep Staging from Electrocardiography and Respiration with Deep Learning. (arXiv:1908.11463v1 [q-bio.QM]) http://arxiv.org/abs/1908.11463
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