arXiv Quantitative Biology @arxiv_bio@qoto.org

Light Gradient Boosting Machine as a Regression Method for Quantitative Structure-Activity Relationships. (arXiv:2105.08626v1 [q-bio.BM]) http://arxiv.org/abs/2105.08626

Edges in Brain Networks: Contributions to Models of Structure and Function. (arXiv:2105.07069v1 [q-bio.NC]) http://arxiv.org/abs/2105.07069

Dynamic network analysis improves protein 3D structural classification. (arXiv:2105.07079v1 [q-bio.MN]) http://arxiv.org/abs/2105.07079

Interpretable Drug Synergy Prediction with Graph Neural Networks for Human-AI Collaboration in Healthcare. (arXiv:2105.07082v1 [cs.LG]) http://arxiv.org/abs/2105.07082

Effective description of bistability and irreversibility in apoptosis. (arXiv:2105.07087v1 [q-bio.MN]) http://arxiv.org/abs/2105.07087

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