arXiv Quantitative Biology @arxiv_bio@qoto.org

Shrinkage-based random local clocks with scalable inference. (arXiv:2105.07119v1 [stat.ME]) http://arxiv.org/abs/2105.07119

NeuroGen: activation optimized image synthesis for discovery neuroscience. (arXiv:2105.07140v1 [q-bio.NC]) http://arxiv.org/abs/2105.07140

Base pair fluctuations in helical models for nucleic acids. (arXiv:2105.07155v1 [cond-mat.soft]) http://arxiv.org/abs/2105.07155

Joint estimation of multiple Granger causal networks: Inference of group-level brain connectivity. (arXiv:2105.07196v1 [cs.LG]) http://arxiv.org/abs/2105.07196

An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. (arXiv:2105.07246v1 [cs.LG]) http://arxiv.org/abs/2105.07246

A brain basis of dynamical intelligence for AI and computational neuroscience. (arXiv:2105.07284v1 [q-bio.NC]) http://arxiv.org/abs/2105.07284

Learning Robust Hierarchical Patterns of Human Brain across Many fMRI Studies. (arXiv:2105.06535v1 [cs.LG]) http://arxiv.org/abs/2105.06535

Prioritisation mismatch using dispersal-based connectivity assessment. (arXiv:2105.06702v1 [q-bio.PE]) http://arxiv.org/abs/2105.06702

Objective comparison of methods to decode anomalous diffusion. (arXiv:2105.06766v1 [physics.data-an]) http://arxiv.org/abs/2105.06766

Quantified Sleep: Machine learning techniques for observational n-of-1 studies. (arXiv:2105.06811v1 [q-bio.QM]) http://arxiv.org/abs/2105.06811

Multi-Objective Optimisation of Cortical Spiking Neural Networks With Genetic Algorithms. (arXiv:2105.06824v1 [cs.NE]) http://arxiv.org/abs/2105.06824

Predicting speech intelligibility from EEG using a dilated convolutional network. (arXiv:2105.06844v1 [eess.AS]) http://arxiv.org/abs/2105.06844

Estimation of Parameters for an Archetypal Model of Cardiomyocyte Membrane Potentials. (arXiv:2105.06853v1 [q-bio.TO]) http://arxiv.org/abs/2105.06853

Global sensitivity analysis informed model reduction and selection applied to a Valsalva maneuver model. (arXiv:2005.12879v3 [q-bio.QM] UPDATED) http://arxiv.org/abs/2005.12879

The interplay between randomness and structure during learning in RNNs. (arXiv:2006.11036v4 [q-bio.NC] UPDATED) http://arxiv.org/abs/2006.11036

Mass testing and proactiveness affect epidemic spreading. (arXiv:2008.10387v2 [physics.soc-ph] UPDATED) http://arxiv.org/abs/2008.10387

Calibration of a SEIR-SEI epidemic model to describe the Zika virus outbreak in Brazil. (arXiv:2105.06036v1 [q-bio.PE]) http://arxiv.org/abs/2105.06036

TopoTxR: A Topological Biomarker for Predicting Treatment Response in Breast Cancer. (arXiv:2105.06049v1 [q-bio.QM]) http://arxiv.org/abs/2105.06049

Dynamical Origin for Winner-Take-All Competition in A Biological Network of The Hippocampal Dentate Gyrus. (arXiv:2105.06057v1 [q-bio.NC]) http://arxiv.org/abs/2105.06057

A hybrid machine learning/deep learning COVID-19 severity predictive model from CT images and clinical data. (arXiv:2105.06141v1 [q-bio.QM]) http://arxiv.org/abs/2105.06141