Overview of the ZINB-GRAN: Starting with the count matrix from scRNA-seq data as input, ZINB-GRAN first constructs a WGCN from gene expression data. Based on this WGCN, it builds an initial regulatory ...
Abstract: Gaussian process (GP) models are powerful tools for Bayesian classification, but their limitation is the high computational cost. Existing approximation methods to reduce the cost of GP ...
Single neurons in mouse sensorimotor cortex are organized by their activity features into distinct subpopulations with area-spanning footprints whose boundaries align closely with anatomical and ...
Abstract: Fatigue-induced delamination of the direct-bonded copper solder layer is a critical and latent failure mode in multichip insulated gate bipolar transistor (IGBT) power modules. To address ...
A five-grade imaging classification system and diagnostic therapeutic algorithm may reduce the risk for primary periphyseal ...
Classification society ClassNK has introduced what it said is the world's first notation to indicate that greenhouse gas ...
If you want to build a system that lasts, make sure it's absorbing real operational constraints—the exceptions, the edge ...
Download ASTM International's free guide to streamline certification for additively manufactured parts in defense sectors.
The repository houses the IntegratedLearner R package for multi-omics prediction and classification. Binary, multiclass, continuous, and survival outcomes are supported through a single high-level ...
Papers ImageNet Classification (from Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton, ImageNet Classification with Deep Convolutional Neural Networks, NIPS, 2012.) Microsoft (Deep Residual ...
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