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Figure 1 | BMC Bioinformatics

Figure 1

From: Adaptive filtering of microarray gene expression data based on Gaussian mixture decomposition

Figure 1

Histograms of gene expression means and variances for analyzed datasets and their Gaussian mixture models. Rows correspond to datasets, first row (A, D, G) - spike in dataset, second row (B, E, H) - rat diabetes dataset, third row (C, F, I) - leukemia dataset. Columns correspond to signals, first column - sample mean signal (S - method), second column - sample variance in the original scale signal (V - method), third column - sample variance in the log2 scale (LV -method). Probability density functions corresponding to separate Gaussian components are drawn with the use of different line styles, red color corresponds to components assigned to removal and green color - to components assigned to retain. Removal or retaining is decided by using the k-means method (explanations in the text). Plots of probability density function of mixture models given by sums of probability density functions of components are drawn in blue.

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