arXiv Quantitative Biology @arxiv_bio@qoto.org

Stroke recovery phenotyping through network trajectory approaches and graph neural networks. (arXiv:2109.14659v1 [q-bio.QM]) http://arxiv.org/abs/2109.14659

Probing conformational dynamics of antibodies with geometric simulations. (arXiv:2109.14724v1 [q-bio.BM]) http://arxiv.org/abs/2109.14724

Spatial and temporal dynamics of RhoA activities of single breast tumor cells in a 3D environment revealed by a machine learning-assisted FRET technique. (arXiv:2109.14748v1 [q-bio.CB]) http://arxiv.org/abs/2109.14748

Tumor Spheroid Chemotaxis in Epidermal Growth Factor Gradients Revealed by a 3D Microfluidic Device. (arXiv:2109.14751v1 [q-bio.CB]) http://arxiv.org/abs/2109.14751

Boost-RS: Boosted Embeddings for Recommender Systems and its Application to Enzyme-Substrate Interaction Prediction. (arXiv:2109.14766v1 [q-bio.QM]) http://arxiv.org/abs/2109.14766

Genomic prediction: progress and perspectives for rice improvement. (arXiv:2109.14781v1 [q-bio.GN]) http://arxiv.org/abs/2109.14781

Gene regulatory network inference from single-cell data using a self-consistent proteomic field. (arXiv:2109.14888v1 [q-bio.MN]) http://arxiv.org/abs/2109.14888

Game-environment feedback dynamics in growing population: Effect of finite carrying capacity. (arXiv:2109.14971v1 [nlin.AO]) http://arxiv.org/abs/2109.14971

A Chemical Master Equation Model for Synaptic Molecular Communication. (arXiv:2109.14986v1 [cs.ET]) http://arxiv.org/abs/2109.14986

Analysis of a functional response with prey-density dependent handling time from an evolutionary perspective. (arXiv:2109.15027v1 [q-bio.PE]) http://arxiv.org/abs/2109.15027

In-phase oscillations from the cooperation of cellular and network positive feedback in synaptically-coupled oscillators. (arXiv:2109.13932v1 [nlin.CD]) http://arxiv.org/abs/2109.13932

Radical pairs may play a role in microtubule reorganization. (arXiv:2109.14055v1 [q-bio.NC]) http://arxiv.org/abs/2109.14055

Swapping in lattice-based cell migration models. (arXiv:2109.14093v1 [q-bio.CB]) http://arxiv.org/abs/2109.14093

Incorporating global dynamics to improve the accuracy of disease models: Example of a COVID-19 SIR model. (arXiv:2109.14165v1 [stat.AP]) http://arxiv.org/abs/2109.14165

Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit. (arXiv:2109.14445v1 [q-bio.QM]) http://arxiv.org/abs/2109.14445

Variational Inference for Continuous-Time Switching Dynamical Systems. (arXiv:2109.14492v1 [cs.LG]) http://arxiv.org/abs/2109.14492

Postural Orthostatic Tachycardia Syndrome explained using abaroreflex response model. (arXiv:2109.14558v1 [q-bio.TO]) http://arxiv.org/abs/2109.14558

Dynamical systems on large networks with predator-prey interactions are stable and exhibit oscillations. (arXiv:2009.11211v3 [cond-mat.stat-mech] UPDATED) http://arxiv.org/abs/2009.11211

Bayesian uncertainty quantification for data-driven equation learning. (arXiv:2102.11629v4 [q-bio.QM] UPDATED) http://arxiv.org/abs/2102.11629

A Comprehensive Review of Image Analysis Methods for Microorganism Counting: From Classical Image Processing to Deep Learning Approaches. (arXiv:2103.13625v4 [eess.IV] UPDATED) http://arxiv.org/abs/2103.13625