Name
Abstract | ||
|---|---|---|
If there is insufficient RNA from the tissues under investigation from one organism, then it is common practice to pool RNA. An important question is to determine whether pooling introduces biases, which can lead to inaccurate results. In this article, we describe two biases related to pooling, from a theoretical as well as a practical point of view.We model and quantify the respective parts of the pooling bias due to the log transform as well as the bias due to biological averaging of the samples. We also evaluate the impact of the bias on the statistical differential analysis of Affymetrix data. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1093/bioinformatics/btm182 | ISMB/ECCB (Supplement of Bioinformatics) |
Keywords | Field | DocType |
inaccurate result,practical point,biological averaging,important question,affymetrix data,common practice,respective part,microarray experiment,insufficient rna,statistical differential analysis,pool rna | Data mining,Microarray,Computer science,Pooling,Artificial intelligence,Differential analysis,Bioinformatics,Machine learning | Conference |
Volume | Issue | ISSN |
23 | 13 | 1367-4811 |
Citations | PageRank | References |
2 | 0.44 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tristan Mary-Huard | 1 | 81 | 8.45 |
| Jean-Jacques Daudin | 2 | 342 | 28.26 |
| Michela Baccini | 3 | 3 | 0.80 |
| Annibale Biggeri | 4 | 5 | 2.16 |
| Avner Bar-Hen | 5 | 2 | 1.12 |