Compressing gene expression data using multiple latent space dimensionalities learns complementary biological representations

Abstract Background Unsupervised compression algorithms applied to gene expression data extract latent or hidden signals representing technical and biological sources of variation.However, these algorithms require a user to select Modern look to the risk factors and prevention of cervical cancer a biologically appropriate latent space dimensionalit

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Image Compression Based On Wavelet, Polynomial and Quadtree

In this paper a simple and fast Modern look to the risk factors and prevention of cervical cancer image compression scheme is proposed, it is based on using wavelet transform to decompose the image signal and then using polynomial approximation to prune the smoothing component of the image band.The architect of proposed coding scheme is high synthe

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Topologically cloaked magnetic colloidal transport

Abstract Cloaking is a method of making obstacles undetectable.Here we cloak unit cells of a Carbon storage simulation and analysis in Beijing-Tianjin-Hebei region based on CA-plus model under dual-carbon background magnetic pattern squeezed into an otherwise periodic pattern from a magnetically driven colloidal flow.We apply a time-periodic extern

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Radiometric Compensation for Occluded Crops Imaged Using High-Spatial-Resolution Unmanned Aerial Vehicle System

Crop characterization is considered a prerequisite to devising effective strategies for ensuring successful implementation of sustainable agricultural management strategies.As such, remote-sensing technology has opened an exciting horizon for crop characterization at reasonable spatial, spectral, and temporal scales.However, the presence of shadows

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