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Figure 3 | BMC Biology

Figure 3

From: Ultra-high throughput sequencing-based small RNA discovery and discrete statistical biomarker analysis in a collection of cervical tumours and matched controls

Figure 3

Comparison of false discovery rate estimates based on different statistical methods. False discovery rates are shown for our proposed method for identification of significant microRNAs (miRNAs) - a log-linear model on cube-rooted data - as well as three competing methods: a log-linear model on raw data, t-statistics on raw data, and t-statistics on cube-rooted data. The log-linear model on cube-rooted data results in extremely low false discovery rates (FDRs). The FDR for a given miRNA score cutoff is the average proportion of miRNAs with scores above that cutoff that are 'false positives'; see Additional File 9 for details on FDR calculation.

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BMC Biology

ISSN: 1741-7007

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