arXiv Quantitative Biology @arxiv_bio@qoto.org

From seeing to remembering: Images with harder-to-reconstruct representations leave stronger memory traces. (arXiv:2302.10392v1 [q-bio.NC]) http://arxiv.org/abs/2302.10392

Time to Embrace Natural Language Processing (NLP)-based Digital Pathology: Benchmarking NLP- and Convolutional Neural Network-based Deep Learning Pipelines. (arXiv:2302.10406v1 [cs.AI]) http://arxiv.org/abs/2302.10406

The construction of ceRNAs network reveals the prognostic characteristics of prostate cancer. (arXiv:2302.10599v1 [q-bio.MN]) http://arxiv.org/abs/2302.10599

A Deep Learning-Based and Fully Automated Pipeline for Regurgitant Mitral Valve Anatomy Analysis from 3D Echocardiography. (arXiv:2302.10634v1 [cs.CV]) http://arxiv.org/abs/2302.10634

Snakes and Ladders: a Treewidth Story. (arXiv:2302.10662v1 [math.CO]) http://arxiv.org/abs/2302.10662

A unified approach for morphometrics and functional data analysis with machine learning for craniodental shape quantification in shrew species. (arXiv:2302.10792v1 [q-bio.QM]) http://arxiv.org/abs/2302.10792

An anatomy-based V1 model: Extraction of Low-level Features, Reduction of distortion and a V1-inspired SOM. (arXiv:2302.09074v1 [q-bio.NC]) http://arxiv.org/abs/2302.09074

Nowcasting the 2022 mpox outbreak in England. (arXiv:2302.09076v1 [q-bio.PE]) http://arxiv.org/abs/2302.09076

Hairygami: Analysis of DNA Nanostructure's Conformational Change Driven by Functionalizable Overhangs. (arXiv:2302.09109v1 [cond-mat.soft]) http://arxiv.org/abs/2302.09109

SBcoyote: An Extensible Python-Based Reaction Editor and Viewer. (arXiv:2302.09151v1 [q-bio.QM]) http://arxiv.org/abs/2302.09151

Identify local limiting factors of species distribution using min-linear logistic regression. (arXiv:2302.09217v1 [q-bio.QM]) http://arxiv.org/abs/2302.09217

FastCod: Fast Brain Connectivity in Diffusion Imaging. (arXiv:2302.09247v1 [eess.IV]) http://arxiv.org/abs/2302.09247

Structural Controllability to Unveil Hidden Regulation Mechanisms in Unfolded Protein Response: the Role of Network Models. (arXiv:2302.09285v1 [q-bio.MN]) http://arxiv.org/abs/2302.09285

Urine Dataset having eigth particles classes. (arXiv:2302.09312v1 [q-bio.QM]) http://arxiv.org/abs/2302.09312

CRP-Tree: A phylogenetic association test for binary traits. (arXiv:2302.09402v1 [q-bio.PE]) http://arxiv.org/abs/2302.09402

Partial differential equation-based inference of migration and proliferation mechanisms in cancer cell populations. (arXiv:2302.09445v1 [q-bio.CB]) http://arxiv.org/abs/2302.09445

Syntactic Structure Processing in the Brain while Listening. (arXiv:2302.08589v1 [cs.CL]) http://arxiv.org/abs/2302.08589

Analysis of a Countable-Type Branching Process Model for the Tug-of-War Cancer Cell Dynamics. (arXiv:2302.08695v1 [q-bio.PE]) http://arxiv.org/abs/2302.08695

A Fast Second-Order Explicit Predictor-Corrector Numerical Technique To Investigating And Predicting The Dynamic Of Cytokine Levels And Human Immune Cells Activation In Response To Gram-Positive Bacteria: Staphylococcus Aureus. (arXiv:2302.08793v1 [math.NA]) http://arxiv.org/abs/2302.08793

Approaching epidemiological dynamics of COVID-19 with physics-informed neural networks. (arXiv:2302.08796v1 [q-bio.QM]) http://arxiv.org/abs/2302.08796