arXiv Quantitative Biology @arxiv_bio@qoto.org

Basis Function Based Data Driven Learning for the Inverse Problem of Electrocardiography. (arXiv:2102.00570v1 [q-bio.QM]) http://arxiv.org/abs/2102.00570

Exclusion and multiplicity for stable communities in Lotka-Volterra systems. (arXiv:2102.00611v1 [q-bio.PE]) http://arxiv.org/abs/2102.00611

Peptipedia: a comprehensive database for peptide research supported by Assembled predictive models and Data Mining approaches. (arXiv:2101.12210v1 [q-bio.GN]) http://arxiv.org/abs/2101.12210

Speckle Statistics of Biological Tissues in Optical Coherence Tomography. (arXiv:2101.12265v1 [physics.med-ph]) http://arxiv.org/abs/2101.12265

Motion Capture-driven Musculoskeletal Spine Modeling: An OpenSim-based Inverse Kinematics Approach. (arXiv:2101.12272v1 [physics.med-ph]) http://arxiv.org/abs/2101.12272

How dynamic social activity shapes an epidemic: waves, plateaus, and endemic state. (arXiv:2101.12275v1 [q-bio.PE]) http://arxiv.org/abs/2101.12275

Comment on "A compilation and bioenergetic evaluation of syntrophic microbial growth yields in anaerobic digestion" by Pat\'on, M. and Rodr\'iguez, J. [Water Research 162 (2019), 516-517]. (arXiv:2101.12342v1 [q-bio.QM]) http://arxiv.org/abs/2101.12342

Electrochemical tuning of alcohol oxidase and dehydrogenase catalysis via biosensing towards butanol-1 detection in fermentation media. (arXiv:2101.12350v1 [physics.chem-ph]) http://arxiv.org/abs/2101.12350

Benchmarking real-time monitoring strategies for ethanol production from lignocellulosic biomass. (arXiv:2101.12360v1 [q-bio.QM]) http://arxiv.org/abs/2101.12360

Spike-adding and reset-induced canard cycles in adaptive integrate and fire models. (arXiv:2101.12507v1 [math.DS]) http://arxiv.org/abs/2101.12507

BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions. (arXiv:2101.12547v1 [cs.LG]) http://arxiv.org/abs/2101.12547

Emergence of universality in the transmission dynamics of COVID-19. (arXiv:2101.12556v1 [physics.soc-ph]) http://arxiv.org/abs/2101.12556

Predicting Participation in Cancer Screening Programs with Machine Learning. (arXiv:2101.11614v1 [q-bio.OT]) http://arxiv.org/abs/2101.11614

G-MIND: An End-to-End Multimodal Imaging-Genetics Framework for Biomarker Identification and Disease Classification. (arXiv:2101.11656v1 [q-bio.QM]) http://arxiv.org/abs/2101.11656

A two-sex branching process with oscillations: application to predator-prey systems. (arXiv:2101.11658v1 [q-bio.PE]) http://arxiv.org/abs/2101.11658

A reduction methodology for fluctuation driven population dynamics. (arXiv:2101.11679v1 [cond-mat.stat-mech]) http://arxiv.org/abs/2101.11679

Tracking Short-Term Temporal Linguistic Dynamics to Characterize Candidate Therapeutics for COVID-19 in the CORD-19 Corpus. (arXiv:2101.11710v1 [q-bio.OT]) http://arxiv.org/abs/2101.11710

Predicting the Mechanical Properties of Fibrin Using Neural Networks Trained on Discrete Fiber Network Data. (arXiv:2101.11712v1 [q-bio.QM]) http://arxiv.org/abs/2101.11712

Neural networks for Anatomical Therapeutic Chemical (ATC). (arXiv:2101.11713v1 [q-bio.QM]) http://arxiv.org/abs/2101.11713

Local sequence-structure relationships in proteins. (arXiv:2101.11724v1 [q-bio.BM]) http://arxiv.org/abs/2101.11724