arXiv Quantitative Biology @arxiv_bio@qoto.org

NetMoST: A network-based machine learning approach for subtyping schizophrenia using polygenic haplotype biomarkers. (arXiv:2302.00104v1 [q-bio.MN]) http://arxiv.org/abs/2302.00104

Universal Topological Regularities of Syntactic Structures: Decoupling Efficiency from Optimization. (arXiv:2302.00129v1 [cs.CL]) http://arxiv.org/abs/2302.00129

Emerging Trends in Droplet Microfluidic Screens for Biotechnology. (arXiv:2302.00142v1 [q-bio.QM]) http://arxiv.org/abs/2302.00142

Gyri vs. Sulci: Disentangling Brain Core-Periphery Functional Networks via Twin-Transformer. (arXiv:2302.00146v1 [q-bio.NC]) http://arxiv.org/abs/2302.00146

Deep Learning Approach to Predict Hemorrhage in Moyamoya Disease. (arXiv:2302.00188v1 [cs.LG]) http://arxiv.org/abs/2302.00188

End-to-End Full-Atom Antibody Design. (arXiv:2302.00203v1 [q-bio.BM]) http://arxiv.org/abs/2302.00203

Electrode Selection for Noninvasive Fetal Electrocardiogram Extraction using Mutual Information Criteria. (arXiv:2302.00206v1 [eess.SP]) http://arxiv.org/abs/2302.00206

Efficient Scopeformer: Towards Scalable and Rich Feature Extraction for Intracranial Hemorrhage Detection. (arXiv:2302.00220v1 [cs.CV]) http://arxiv.org/abs/2302.00220

Development of deep biological ages aware of morbidity and mortality based on unsupervised and semi-supervised deep learning approaches. (arXiv:2302.00319v1 [cs.LG]) http://arxiv.org/abs/2302.00319

Inferring pointwise diffusion properties of single trajectories with deep learning. (arXiv:2302.00410v1 [cond-mat.soft]) http://arxiv.org/abs/2302.00410

Numerical Issues for a Non-autonomous Logistic Model. (arXiv:2301.13201v1 [q-bio.QM]) http://arxiv.org/abs/2301.13201

A Safety Framework for Flow Decomposition Problems via Integer Linear Programming. (arXiv:2301.13245v1 [cs.DS]) http://arxiv.org/abs/2301.13245

Resonant noise amplification in a predator-prey model with quasi-discrete generations. (arXiv:2301.13290v1 [cond-mat.stat-mech]) http://arxiv.org/abs/2301.13290

Deep Learning for Reference-Free Geolocation for Poplar Trees. (arXiv:2301.13387v1 [q-bio.GN]) http://arxiv.org/abs/2301.13387

Exploring QSAR Models for Activity-Cliff Prediction. (arXiv:2301.13644v1 [cs.LG]) http://arxiv.org/abs/2301.13644

Spyker: High-performance Library for Spiking Deep Neural Networks. (arXiv:2301.13659v1 [cs.CV]) http://arxiv.org/abs/2301.13659

Designing Covalent Organic Framework-based Light-driven Microswimmers towards Intraocular Theranostic Applications. (arXiv:2301.13787v1 [physics.bio-ph]) http://arxiv.org/abs/2301.13787

A Perturbative Approach to the Analysis of Many-Compartment Models Characterized by the Presence of Waning Immunity. (arXiv:2109.05605v2 [math.DS] UPDATED) http://arxiv.org/abs/2109.05605

Forecasting COVID- 19 cases using Statistical Models and Ontology-based Semantic Modelling: A real time data analytics approach. (arXiv:2206.02795v2 [q-bio.PE] UPDATED) http://arxiv.org/abs/2206.02795

Hierarchically Clustered PCA, LLE, and CCA via a Convex Clustering Penalty. (arXiv:2211.16553v2 [cs.LG] UPDATED) http://arxiv.org/abs/2211.16553