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Gene expression profiles provide hidden biological knowledge and key information that can be used to distinguish different types of cancer. Due to their high dimensionality and redundancy, gene expression data are often preprocessed by dimensionality reduction (DR) methods. Conventional supervised DR methods use only labeled samples to train the model, leading to a limited performance due to small...
High-throughput experimental techniques have produced a large amount of human protein-protein interactions, making it possible to construct a large-scale human PPI network and detect human protein complexes from the network with computational approaches. However, most of current complex detection methods are based on graph theory which can't utilize the information of the known complexes. In this...
The authors proposed a novel approach for the acetowhite region segmentation in order to improve the segmentation accuracy. The proposed algorithm took two steps to finish the segmentation work, the first step: applied the watershed algorithm to finish the coarse segmentation and locate the acetowhite region, the second step: adjusted the acetowhite region boundary to plot precise acetowhite region...
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