arXiv Quantitative Biology @arxiv_bio@qoto.org

Cognizance of Post-COVID-19 Multi-Organ Dysfunction through Machine Learning Analysis. (arXiv:2309.16736v1 [cs.LG]) http://arxiv.org/abs/2309.16736

Supervised Learning Models for Early Detection of Albuminuria Risk in Type-2 Diabetes Mellitus Patients. (arXiv:2309.16742v1 [cs.LG]) http://arxiv.org/abs/2309.16742

Predicting Long-term Renal Impairment in Post-COVID-19 Patients with Machine Learning Algorithms. (arXiv:2309.16744v1 [cs.LG]) http://arxiv.org/abs/2309.16744

Implicit Gaussian process representation of vector fields over arbitrary latent manifolds. (arXiv:2309.16746v1 [cs.LG]) http://arxiv.org/abs/2309.16746

Human Behavior Plasticity Measured in Speech Epochs: A Proof-Of-Concept Study. (arXiv:2309.15862v1 [q-bio.OT]) http://arxiv.org/abs/2309.15862

Identifying factors associated with fast visual field progression in patients with ocular hypertension based on unsupervised machine learning. (arXiv:2309.15867v1 [cs.LG]) http://arxiv.org/abs/2309.15867

Explainable machine learning identifies multi-omics signatures of muscle response to spaceflight in mice. (arXiv:2309.15888v1 [q-bio.QM]) http://arxiv.org/abs/2309.15888

Multiscale malaria models and their uniform in-time asymptotic analysis. (arXiv:2309.15935v1 [q-bio.PE]) http://arxiv.org/abs/2309.15935

Genomic Analysis and Artificial Intelligence: Predicting Viral Mutations and Future Pandemics. (arXiv:2309.15936v1 [q-bio.OT]) http://arxiv.org/abs/2309.15936

To Give or Not To Give: Pandemic Vaccine Donation Policy. (arXiv:2309.15950v1 [q-bio.PE]) http://arxiv.org/abs/2309.15950

Clinical Trial Recommendations Using Semantics-Based Inductive Inference and Knowledge Graph Embeddings. (arXiv:2309.15979v1 [cs.AI]) http://arxiv.org/abs/2309.15979

Protein container disassembly pathways depend on geometric design. (arXiv:2309.16030v1 [q-bio.BM]) http://arxiv.org/abs/2309.16030

Precision estimation and second-order prediction errors in cortical circuits. (arXiv:2309.16046v1 [q-bio.NC]) http://arxiv.org/abs/2309.16046

Identifying Risk Factors for Post-COVID-19 Mental Health Disorders: A Machine Learning Perspective. (arXiv:2309.16055v1 [cs.LG]) http://arxiv.org/abs/2309.16055

Genetic InfoMax: Exploring Mutual Information Maximization in High-Dimensional Imaging Genetics Studies. (arXiv:2309.15132v1 [q-bio.QM]) http://arxiv.org/abs/2309.15132

A stochastic explanation for observed local-to-global foraging states in Caenorhabditis elegans. (arXiv:2309.15174v1 [q-bio.NC]) http://arxiv.org/abs/2309.15174

Beauty beacon: correlated strategies for the Fisher runaway process. (arXiv:2309.15205v1 [q-bio.PE]) http://arxiv.org/abs/2309.15205

Cross-Validation for Training and Testing Co-occurrence Network Inference Algorithms. (arXiv:2309.15225v1 [cs.LG]) http://arxiv.org/abs/2309.15225

Network Pharmacology, Molecular Docking, and MR Analysis: Targets and Mechanisms of Gegen Qinlian Decoction for Helicobacter pylori. (arXiv:2309.15226v1 [q-bio.MN]) http://arxiv.org/abs/2309.15226

APIS: A paired CT-MRI dataset for ischemic stroke segmentation challenge. (arXiv:2309.15243v1 [eess.IV]) http://arxiv.org/abs/2309.15243