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  "Description": "We propose an Asymmetric Within-Sample Transformation\n(AWST) to regularize RNA-seq read counts and reduce the effect\nof noise on the classification of samples. AWST comprises two\nmain steps: standardization and smoothing. These steps\ntransform gene expression data to reduce the noise of the lowly\nexpressed features, which suffer from background effects and\nlow signal-to-noise ratio, and the influence of the highly\nexpressed features, which may be the result of amplification\nbias and other experimental artifacts.",
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