arXiv Quantitative Biology @arxiv_bio@qoto.org

Extending the Monod Model of Microbial Growth with Memory. (arXiv:2207.02028v1 [q-bio.PE]) http://arxiv.org/abs/2207.02028

Transformer based Models for Unsupervised Anomaly Segmentation in Brain MR Images. (arXiv:2207.02059v1 [eess.IV]) http://arxiv.org/abs/2207.02059

Population genetics: coalescence rate and demographic parameters inference. (arXiv:2207.02111v1 [q-bio.PE]) http://arxiv.org/abs/2207.02111

Path Integral Stochastic Optimal Control for Sampling Transition Paths. (arXiv:2207.02149v1 [q-bio.BM]) http://arxiv.org/abs/2207.02149

A robust theory and definition of life. (arXiv:2005.05656v5 [q-bio.OT] UPDATED) http://arxiv.org/abs/2005.05656

Feature-selected Graph Spatial Attention Network for Addictive Brain-Networks Identification. (arXiv:2207.00583v1 [q-bio.NC]) http://arxiv.org/abs/2207.00583

Distribution-based Sketching of Single-Cell Samples. (arXiv:2207.00584v1 [q-bio.QM]) http://arxiv.org/abs/2207.00584

False positives and the challenge of testing the alien hypothesis. (arXiv:2207.00634v1 [astro-ph.EP]) http://arxiv.org/abs/2207.00634

Action-modulated midbrain dopamine activity arises from distributed control policies. (arXiv:2207.00636v1 [q-bio.NC]) http://arxiv.org/abs/2207.00636

Communities in C.elegans connectome through the prism of non-backtracking walks. (arXiv:2207.00767v1 [q-bio.NC]) http://arxiv.org/abs/2207.00767

Pavlov Learning Machines. (arXiv:2207.00790v1 [cond-mat.dis-nn]) http://arxiv.org/abs/2207.00790

Biologically-informed deep learning models for cancer: fundamental trends for encoding and interpreting oncology data. (arXiv:2207.00812v1 [q-bio.QM]) http://arxiv.org/abs/2207.00812

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. (arXiv:2207.00813v1 [q-bio.NC]) http://arxiv.org/abs/2207.00813

Simulating reaction time for Eureka effect in visual object recognition using artificial neural network. (arXiv:2207.00815v1 [q-bio.NC]) http://arxiv.org/abs/2207.00815

PGMG: A Pharmacophore-Guided Deep Learning Approach for Bioactive Molecular Generation. (arXiv:2207.00821v1 [q-bio.BM]) http://arxiv.org/abs/2207.00821

Stain-free, rapid, and quantitative viral plaque assay using deep learning and holography. (arXiv:2207.00089v1 [physics.ins-det]) http://arxiv.org/abs/2207.00089

End-to-end Learning for Image-based Detection of Molecular Alterations in Digital Pathology. (arXiv:2207.00095v1 [eess.IV]) http://arxiv.org/abs/2207.00095

Improving Disease Classification Performance and Explainability of Deep Learning Models in Radiology with Heatmap Generators. (arXiv:2207.00157v1 [eess.IV]) http://arxiv.org/abs/2207.00157

Theoretical possibilities of head transplant. (arXiv:2207.00304v1 [q-bio.TO]) http://arxiv.org/abs/2207.00304

It is useful to analyze correlation graphs. (arXiv:2207.00330v1 [q-bio.TO]) http://arxiv.org/abs/2207.00330