Abstract: Monitoring student activity manually constantly is a laborious endeavor. Over the past few years, there has been a rapid expansion in the usage of cameras and the automatic identification of ...
Batch effect correction has been recognized to be indispensable when integrating scRNA-seq data from multiple batches. Here, we propose SMNN for batch effect correction of scRNA-seq data via ...
Mar. 2021 ( V0.1.9 ): First version for Seurat 4.0.0 Feb. 2021 ( V0.1.8 ): Last version for Seurat 3.0.0 Nov. 2019 ( v0.1.7 ): In ".simple_combine(D1, D2, FILL=TRUE)", "FILL" can help users to keep ...
This article conforms to a recent trend of developing an energy-efficient Spiking Neural Network (SNN), which takes advantage of the sophisticated training regime of Convolutional Neural Network (CNN) ...
Overcorrection has been one of the main concerns in employing various data integration methods, which risk removing the biological distinction and are harmful for cell-type identification. Here, we ...
Accurate target detection and association are vital for the development of reliable target tracking, especially for cell tracking based on microscopy images due to the similarity of cells. We propose ...
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