Accounting for Dependencies in Deep Learning Based Multiple Instance Learning for Whole Slide Imaging. (arXiv:2111.01556v1 [eess.IV]) http://arxiv.org/abs/2111.01556
PointNu-Net: Simultaneous Multi-tissue Histology Nuclei Segmentation and Classification in the Clinical Wild. (arXiv:2111.01557v1 [eess.IV]) http://arxiv.org/abs/2111.01557
Evaluating deep transfer learning for whole-brain cognitive decoding. (arXiv:2111.01562v1 [q-bio.NC]) http://arxiv.org/abs/2111.01562
Global cell-cell communication enables spatial segregation of cells in organoids of the inner cell mass. (arXiv:2111.01624v1 [q-bio.CB]) http://arxiv.org/abs/2111.01624
Spectra of Reduced Fractals and their Applications in Biology. (arXiv:2111.01719v1 [q-bio.QM]) http://arxiv.org/abs/2111.01719
Eigen's Paradox and the Quasispecies Model in a Non-Archimedean Framework. (arXiv:2111.01745v1 [q-bio.PE]) http://arxiv.org/abs/2111.01745
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time. (arXiv:2111.00070v1 [cs.LG]) http://arxiv.org/abs/2111.00070
High-dimensional multi-trait GWAS by reverse prediction of genotypes. (arXiv:2111.00108v1 [q-bio.GN]) http://arxiv.org/abs/2111.00108
Relating Eulerian and Lagrangian spatial models for vector-host diseases dynamics through a fundamental matrix. (arXiv:2111.00119v1 [q-bio.PE]) http://arxiv.org/abs/2111.00119
Negative autoregulation controls size scaling in confined gene expression reactions. (arXiv:2111.00194v1 [q-bio.MN]) http://arxiv.org/abs/2111.00194
CdtGRN: Construction of qualitative time-delayed gene regulatory networks with a deep learning method. (arXiv:2111.00287v1 [q-bio.MN]) http://arxiv.org/abs/2111.00287
Bioremediation of Contaminated Soil with Crude Oil Using Consortium of bacteria. (arXiv:2111.00594v1 [q-bio.BM]) http://arxiv.org/abs/2111.00594
Bayesian optimization of distributed neurodynamical controller models for spatial navigation. (arXiv:2111.00599v1 [cs.MA]) http://arxiv.org/abs/2111.00599
Validation of Immersed Boundary Simulations of Heart Valve Hemodynamics against In Vitro 4D Flow MRI Data. (arXiv:2111.00720v1 [q-bio.TO]) http://arxiv.org/abs/2111.00720
Statistical quantification of confounding bias in predictive modelling. (arXiv:2111.00814v1 [cs.LG]) http://arxiv.org/abs/2111.00814
A mathematical model of the vowel space. (arXiv:2111.00868v1 [cs.SD]) http://arxiv.org/abs/2111.00868
An optimized protocol for single cell transcriptional profiling by combinatorial indexing. (arXiv:2110.15400v1 [q-bio.GN]) http://arxiv.org/abs/2110.15400
The role of mechano-electric feedbacks and hemodynamic coupling in scar-related ventricular tachycardia. (arXiv:2110.15401v1 [math.NA]) http://arxiv.org/abs/2110.15401
Learning physics confers pose-sensitivity in structure-based virtual screening. (arXiv:2110.15459v1 [q-bio.QM]) http://arxiv.org/abs/2110.15459
DOCKSTRING: easy molecular docking yields better benchmarks for ligand design. (arXiv:2110.15486v1 [stat.ML]) http://arxiv.org/abs/2110.15486
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