DANA is an approach for assessing the performance of normalization for microRNA-Seq data based on biology-motivated and data-driven metrics. DANA takes advantage of well-known biological features of microRNAs for their expression pattern and polycistronic clustering to assess (1) how effectively normalization removes handling effects and (2) how normalization biases true biological signals. DANA can assess any normalization method (under minimal assumptions) for any microRNA-Seq data set and only requires additional information on polycistronic clustering or marker location on the genome, which is typically readily available.
Package details |
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Maintainer | |
License | MIT + file LICENSE |
Version | 1.4.0 |
Package repository | View on GitHub |
Installation |
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