arXiv Quantitative Biology @arxiv_bio@qoto.org

Graph Neural Networks in Network Neuroscience. (arXiv:2106.03535v2 [cs.LG] UPDATED) http://arxiv.org/abs/2106.03535

Heterogeneous Graph-Based Multimodal Brain Network Learning. (arXiv:2110.08465v5 [cs.LG] UPDATED) http://arxiv.org/abs/2110.08465

Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham. (arXiv:2205.02885v2 [cs.LG] UPDATED) http://arxiv.org/abs/2205.02885

Deep learning forward and reverse primer design to detect SARS-CoV-2 emerging variants. (arXiv:2209.13591v1 [q-bio.GN]) http://arxiv.org/abs/2209.13591

Reconstruction-guided attention improves the robustness and shape processing of neural networks. (arXiv:2209.13620v1 [cs.CV]) http://arxiv.org/abs/2209.13620

Modeling Polyp Activity of Paragorgia arborea Using Supervised Learning. (arXiv:2209.13644v1 [q-bio.PE]) http://arxiv.org/abs/2209.13644

The Neoplasia as embryological phenomenon and its implication in the animal evolution and the origin of cancer. II. The neoplastic process as an evolutionary engine. (arXiv:2209.13729v1 [q-bio.TO]) http://arxiv.org/abs/2209.13729

Resource competition in three gene motif causes emergence of Feed-forward response. (arXiv:2209.13886v1 [q-bio.MN]) http://arxiv.org/abs/2209.13886

Noise in Biomolecular Systems: Modeling, Analysis, and Control Implications. (arXiv:2209.13901v1 [q-bio.MN]) http://arxiv.org/abs/2209.13901

Topological descriptors of the parameter region of multistationarity: deciding upon connectivity. (arXiv:2209.13936v1 [q-bio.MN]) http://arxiv.org/abs/2209.13936

Immune cells use active tugging forces to distinguish affinity and accelerate evolution. (arXiv:2209.13991v1 [q-bio.CB]) http://arxiv.org/abs/2209.13991

Molecular tug of war reveals adaptive potential of an immune cell repertoire. (arXiv:2209.13994v1 [physics.bio-ph]) http://arxiv.org/abs/2209.13994

DMAP: a Distributed Morphological Attention Policy for Learning to Locomote with a Changing Body. (arXiv:2209.14218v1 [cs.RO]) http://arxiv.org/abs/2209.14218

Recommendations and guidelines from the ISMRM Diffusion Study Group for preclinical diffusion MRI: Part 1 -- In vivo small-animal imaging. (arXiv:2209.12994v1 [physics.med-ph]) http://arxiv.org/abs/2209.12994

Predicting Protein-Ligand Binding Affinity via Joint Global-Local Interaction Modeling. (arXiv:2209.13014v1 [q-bio.BM]) http://arxiv.org/abs/2209.13014

Artificial Intelligence Models for Cell Type and Subtype Identification Based on Single-Cell RNA Sequencing Data in Vision Science. (arXiv:2209.13022v1 [q-bio.QM]) http://arxiv.org/abs/2209.13022

A Bayesian constitutive model selection framework for biaxial mechanical testing of planar soft tissues: application to porcine aortic valves. (arXiv:2209.13038v1 [q-bio.TO]) http://arxiv.org/abs/2209.13038

Impact of phylogeny on structural contact inference from protein sequence data. (arXiv:2209.13045v1 [q-bio.BM]) http://arxiv.org/abs/2209.13045

Taking Quantitative Genomics into the Wild. (arXiv:2209.13067v1 [q-bio.PE]) http://arxiv.org/abs/2209.13067

Task-dependent fractal patterns of information processing in working memory. (arXiv:2209.13297v1 [q-bio.NC]) http://arxiv.org/abs/2209.13297