arXiv Quantitative Biology @arxiv_bio@qoto.org

Stage structured prey-predator model incorporating mortal peril consequential to inefficiency and habitat complexity in juvenile hunting. (arXiv:2205.03807v1 [q-bio.PE]) http://arxiv.org/abs/2205.03807

Riemannian Geometry of Optimal Driving and Thermodynamic Length and its Application to Chemical Reaction Networks. (arXiv:2205.03829v1 [cond-mat.stat-mech]) http://arxiv.org/abs/2205.03829

FP-GNN: a versatile deep learning architecture for enhanced molecular property prediction. (arXiv:2205.03834v1 [q-bio.MN]) http://arxiv.org/abs/2205.03834

Transcripts Per Million Ratio: a novel batch and sample control method over an established paradigm. (arXiv:2205.02844v1 [q-bio.OT]) http://arxiv.org/abs/2205.02844

Multi-confound regression adversarial network for deep learning-based diagnosis on highly heterogenous clinical data. (arXiv:2205.02885v1 [cs.LG]) http://arxiv.org/abs/2205.02885

Distinctive ionic transport of freshly excised human epileptogenic brain tissue. (arXiv:2205.02888v1 [q-bio.TO]) http://arxiv.org/abs/2205.02888

Mutation induced infection waves in diseases like COVID-19. (arXiv:2205.03073v1 [q-bio.PE]) http://arxiv.org/abs/2205.03073

Machine Learning in Molecular Dynamics Simulations of Biomolecular Systems. (arXiv:2205.03135v1 [q-bio.BM]) http://arxiv.org/abs/2205.03135

Characterizing TMS-EEG perturbation indexes using signal energy: initial study on Alzheimer's Disease classification. (arXiv:2205.03241v1 [eess.SP]) http://arxiv.org/abs/2205.03241

Designing Robust Biotechnological Processes Regarding Variabilities using Multi-Objective Optimization Applied to a Biopharmaceutical Seed Train Design. (arXiv:2205.03261v1 [cs.LG]) http://arxiv.org/abs/2205.03261

Transferring Chemical and Energetic Knowledge Between Molecular Systems with Machine Learning. (arXiv:2205.03339v1 [physics.chem-ph]) http://arxiv.org/abs/2205.03339

Bacteriophage effect on parasitism resistance. (arXiv:2205.03382v1 [q-bio.QM]) http://arxiv.org/abs/2205.03382

Predicting Chemical Hazard across Taxa through Machine Learning. (arXiv:2110.03688v3 [q-bio.QM] UPDATED) http://arxiv.org/abs/2110.03688

BrainViewer: interacting with spatial connectome data at the mesoscale. (arXiv:2205.02291v1 [q-bio.NC]) http://arxiv.org/abs/2205.02291

Evaluation of the relative performance of the subflattenings method for phylogenetic inference. (arXiv:2205.02365v1 [q-bio.PE]) http://arxiv.org/abs/2205.02365

Paired associative stimulation demonstrates alterations in motor cortical synaptic plasticity in patients with hepatic encephalopathy. (arXiv:2205.02465v1 [q-bio.NC]) http://arxiv.org/abs/2205.02465

PyDaddy: A Python package for discovering stochastic dynamical equations from timeseries data. (arXiv:2205.02645v1 [q-bio.QM]) http://arxiv.org/abs/2205.02645

Phenomenology and dynamics of competitive ecosystems beyond the niche-neutral regimes. (arXiv:2205.02650v1 [q-bio.PE]) http://arxiv.org/abs/2205.02650

Querying hippocampal replay with subcortical inputs. (arXiv:2205.02665v1 [q-bio.NC]) http://arxiv.org/abs/2205.02665

Inference of signaling mechanism from cellular responses to multiple cues. (arXiv:2205.02699v1 [q-bio.MN]) http://arxiv.org/abs/2205.02699