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Normalization of qPCR array data: a novel method based on procrustes superimposition
| Content Provider | Semantic Scholar |
|---|---|
| Author | Mohammadian, A. Nourani, Mohammad Reza Mowla, Seyed Javad Tavallaei, Mahmood Liang, Yu |
| Copyright Year | 2013 |
| Abstract | M icroRNAs (miRNAs) are short, endogenous non - coding RNAs that function as guide molecules to regulate transcription of their target messenger RNAs. Several methods including low - density q PCR arrays are being increasingly used to profile the expression of th ese molecules in a variety of different biological conditions. Reliable analysis of expression profiles demands removal of technical variations in data, which is achieved via applying normalization techniques. Most normalization techniques have been develo ped for mRNA microarrays and new and modified methods should be used for miRNA studies in general and RT - q PCR miRNA arrays in particular, because of low number of miRNAs. Here, we introduce a new method based on Procrustes superimposition of arrays to be n ormalized on a reference array. To assess the performance of our normalization method, we compared this method to the common miRNA normalization methods. Removal of technical variation was assessed by robust modeling of mean square error (MSE) in different subsets of real miRNA datasets before and after applying normalization. We show that our method outperforms the other normalization methods in concurrent reduction of technical variation and retention of biological variability. |
| Starting Page | 41 |
| Ending Page | 46 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| DOI | 10.22059/pbs.2013.32090 |
| Alternate Webpage(s) | https://pbiosci.ut.ac.ir/article_32090_7709c257be05f7218bdb9319c0031b2e.pdf |
| Alternate Webpage(s) | https://doi.org/10.22059/pbs.2013.32090 |
| Volume Number | 3 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
