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Statistical tests for differential expression in cDNA microarray experiments Kindle Edition
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| Management number | 210848584 | Release Date | 2026/04/04 | List Price | $2.00 | Model Number | 210848584 | ||
|---|---|---|---|---|---|---|---|---|---|
| Category | |||||||||
Extracting biological information from microarray data requires appropriate statistical methods. The simplest statistical method for detecting differential expression is the t test, which can be used to compare two conditions when there is replication of samples. With more than two conditions, analysis of variance (ANOVA) can be used, and the mixed ANOVA model is a general and powerful approach for microarray experiments with multiple factors and/or several sources of variation. Read more
| XRay | Not Enabled |
|---|---|
| Language | English |
| File size | 1.7 MB |
| Page Flip | Enabled |
| Word Wise | Not Enabled |
| Print length | 31 pages |
| Accessibility | Learn more |
| Screen Reader | Supported |
| Publication date | May 19, 2015 |
| Enhanced typesetting | Enabled |
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