arXiv Quantitative Biology @arxiv_bio@qoto.org

ImageNomer: developing an fMRI and omics visualization tool to detect racial bias in functional connectivity. (arXiv:2302.00767v1 [q-bio.PE]) http://arxiv.org/abs/2302.00767

Meta-Analytic Operation of Threshold-independent Filtering (MOTiF) Reveals Sub-threshold Genomic Robustness in Trisomy. (arXiv:2302.00772v1 [q-bio.QM]) http://arxiv.org/abs/2302.00772

Using Machine Learning to Develop Smart Reflex Testing Protocols. (arXiv:2302.00794v1 [cs.LG]) http://arxiv.org/abs/2302.00794

Existence of exact solution of the Susceptible-Exposed-Infectious-Recovered (SEIR) epidemic model. (arXiv:2302.00826v1 [q-bio.PE]) http://arxiv.org/abs/2302.00826

Molecular Geometry-aware Transformer for accurate 3D Atomic System modeling. (arXiv:2302.00855v1 [q-bio.MN]) http://arxiv.org/abs/2302.00855

The Challenges and Opportunities in Creating an Early Warning System for Global Pandemics. (arXiv:2302.00863v1 [q-bio.QM]) http://arxiv.org/abs/2302.00863

Kainate receptor modulation by NETO2. (arXiv:2302.00887v1 [q-bio.BM]) http://arxiv.org/abs/2302.00887

Quantifying optimal resource allocation strategies for controlling epidemics. (arXiv:2302.00960v1 [q-bio.PE]) http://arxiv.org/abs/2302.00960

Biophysical aspects of neurocognitive modeling with long-term sustained temperature variations. (arXiv:2302.01019v1 [q-bio.NC]) http://arxiv.org/abs/2302.01019

Convergence to the Equilibrium State in an Outbreak: When Can Growth Rates Accurately be Measured?. (arXiv:2302.01076v1 [q-bio.PE]) http://arxiv.org/abs/2302.01076

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