arXiv Quantitative Biology @arxiv_bio@qoto.org

New Approaches in Synthetic Biology: Abiotic Organelles and Artificial Cells Powered and Controlled by Light. (arXiv:1911.06684v1 [q-bio.SC]) http://arxiv.org/abs/1911.06684

Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma. (arXiv:1911.06687v1 [cs.CV]) http://arxiv.org/abs/1911.06687

A Tale of Two Desolvation Potentials: An Investigation of Protein Behavior Under High Hydrostatic Pressure. (arXiv:1911.06692v1 [q-bio.BM]) http://arxiv.org/abs/1911.06692

A RBA model for the chemostat modeling. (arXiv:1911.06696v1 [q-bio.CB]) http://arxiv.org/abs/1911.06696

Optimal intervention strategies of staged progression HIV infections through an age-structured model with probabilities of ART drop out. (arXiv:1911.06703v1 [math.AP]) http://arxiv.org/abs/1911.06703

Antithetic integral feedback for the robust control of monostable and oscillatory biomolecular circuits. (arXiv:1911.05732v1 [eess.SY]) http://arxiv.org/abs/1911.05732

Effects of cross-talk and pleiotropy on the specificity and accuracy of receptor signaling. (arXiv:1911.05895v1 [q-bio.MN]) http://arxiv.org/abs/1911.05895

Structured Mean-field Variational Inference and Learning in Winner-take-all Spiking Neural Networks. (arXiv:1911.05943v1 [q-bio.NC]) http://arxiv.org/abs/1911.05943

Host-virus evolutionary dynamics with specialist and generalist infection strategies: bifurcations, bistability and chaos. (arXiv:1911.06025v1 [math.DS]) http://arxiv.org/abs/1911.06025

Task-dependence in scene perception: Head unrestrained viewing using mobile eye-tracking. (arXiv:1911.06085v1 [q-bio.NC]) http://arxiv.org/abs/1911.06085

PharML.Bind: Pharmacologic Machine Learning for Protein-Ligand Interactions. (arXiv:1911.06105v1 [q-bio.BM]) http://arxiv.org/abs/1911.06105

AMP0: Species-Specific Prediction of Anti-microbial Peptides using Zero and Few Shot Learning. (arXiv:1911.06106v1 [q-bio.BM]) http://arxiv.org/abs/1911.06106

Earthmover-based manifold learning for analyzing molecular conformation spaces. (arXiv:1911.06107v1 [q-bio.BM]) http://arxiv.org/abs/1911.06107

An edge-based formulation of elastic network models. (arXiv:1911.06152v1 [physics.chem-ph]) http://arxiv.org/abs/1911.06152

LGN-CNN: a biologically inspired CNN architecture. (arXiv:1911.06276v1 [cs.NE]) http://arxiv.org/abs/1911.06276

Learning From Brains How to Regularize Machines. (arXiv:1911.05072v1 [cs.LG]) http://arxiv.org/abs/1911.05072

Learning from Data-Rich Problems: A Case Study on Genetic Variant Calling. (arXiv:1911.05151v1 [q-bio.GN]) http://arxiv.org/abs/1911.05151

Mathematical models for cell migration: a nonlocal perspective. (arXiv:1911.05200v1 [math.AP]) http://arxiv.org/abs/1911.05200

AMPL: A Data-Driven Modeling Pipeline for Drug Discovery. (arXiv:1911.05211v1 [q-bio.QM]) http://arxiv.org/abs/1911.05211

Weighted Network Analysis of Biologically Relevant Chemical Spaces. (arXiv:1911.05259v1 [q-bio.MN]) http://arxiv.org/abs/1911.05259