arXiv Quantitative Biology @arxiv_bio@qoto.org

Efficient Bayesian inference of fully stochastic epidemiological models with applications to COVID-19. (arXiv:2010.11783v2 [stat.ME] UPDATED) http://arxiv.org/abs/2010.11783

Habitability Models for Astrobiology. (arXiv:2108.05417v1 [astro-ph.EP]) http://arxiv.org/abs/2108.05417

A Mathematical Approach to Constraining Neural Abstraction and the Mechanisms Needed to Scale to Higher-Order Cognition. (arXiv:2108.05494v1 [cs.AI]) http://arxiv.org/abs/2108.05494

Regulation of the Pho Regulon and Reconstruction of the Photosynthetic Apparatus under Phosphate Limitation in Synechocystis sp. PCC 6803. (arXiv:2108.05544v1 [q-bio.QM]) http://arxiv.org/abs/2108.05544

Understanding the population structure correction regression. (arXiv:2108.05655v1 [stat.AP]) http://arxiv.org/abs/2108.05655

Development of Risk-Free COVID-19 Screening Algorithm from Routine Blood Test using Ensemble Machine Learning. (arXiv:2108.05660v1 [cs.LG]) http://arxiv.org/abs/2108.05660

The Stoop-Squat-Index: a simple but powerful measure for quantifying lifting behavior. (arXiv:2108.05795v1 [physics.med-ph]) http://arxiv.org/abs/2108.05795

Communication-free and Parallel Simulation of Neutral Biodiversity Models. (arXiv:2108.05815v1 [cs.DC]) http://arxiv.org/abs/2108.05815

Fluctuation in background synaptic activity controls synaptic plasticity. (arXiv:2108.05827v1 [q-bio.NC]) http://arxiv.org/abs/2108.05827

Eliminating unwanted patterns with minimal interference. (arXiv:2108.05848v1 [q-bio.BM]) http://arxiv.org/abs/2108.05848

Emergent Properties in a V1-Inspired Network of Hodgkin-Huxley Neurons. (arXiv:2004.10656v2 [q-bio.NC] UPDATED) http://arxiv.org/abs/2004.10656

MuCoMiD: A Multitask Convolutional Learning Framework for miRNA-Disease Association Prediction. (arXiv:2108.04820v1 [q-bio.QM]) http://arxiv.org/abs/2108.04820

Enumeration of binary trees compatible with a perfect phylogeny. (arXiv:2108.04849v1 [q-bio.PE]) http://arxiv.org/abs/2108.04849

Using Information Theory to Measure Psychophysical Performance. (arXiv:2108.04936v1 [q-bio.NC]) http://arxiv.org/abs/2108.04936

A Brief Review of Machine Learning Techniques for Protein Phosphorylation Sites Prediction. (arXiv:2108.04951v1 [q-bio.QM]) http://arxiv.org/abs/2108.04951

Survival in Branching Cellular Populations. (arXiv:2108.04992v1 [q-bio.PE]) http://arxiv.org/abs/2108.04992

Wheels: A New Criterion for Non-convexity of Neural Codes. (arXiv:2108.04995v1 [math.CO]) http://arxiv.org/abs/2108.04995

Predicting Molecular Phenotypes with Single Cell RNA Sequencing Data: an Assessment of Unsupervised Machine Learning Models. (arXiv:2108.05039v1 [q-bio.GN]) http://arxiv.org/abs/2108.05039

Investigating the spatial resolution of EMG and MMG based on a systemic multi-scale model. (arXiv:2108.05046v1 [q-bio.TO]) http://arxiv.org/abs/2108.05046

Deep2Lead: A distributed deep learning application for small molecule lead optimization. (arXiv:2108.05183v1 [q-bio.QM]) http://arxiv.org/abs/2108.05183