Difference between revisions of "JP Feb 09 16"
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| + | Correlation Coefficient: | ||
| + | Statistically, we see significant changes. Biologically, looking at changes in the genes, we may not think they're that significant. | ||
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| + | Genes are correlated when multiple samples display a trend in expression for the genes. For instance, if Gene 1 is upregulated and Gene 2 is upregulated (magnitude doesn't matter) in the same sample, they're correlated for that sample. Over multiple samples, a correlation coefficient can be produced, especially if it's more upregulated in other samples. Negative correlations indicate that as one gene increases, the other gene decreases. | ||
| + | They don't have to be parallel lines. | ||
| + | Small fluctuations can really change correlations, especially if the gene is clustered around a very tight line. | ||
| + | *Do we include all three fastings and feedings if little differences change clustering? | ||
Revision as of 18:53, 9 February 2016
Correlation Coefficient: Statistically, we see significant changes. Biologically, looking at changes in the genes, we may not think they're that significant.
Genes are correlated when multiple samples display a trend in expression for the genes. For instance, if Gene 1 is upregulated and Gene 2 is upregulated (magnitude doesn't matter) in the same sample, they're correlated for that sample. Over multiple samples, a correlation coefficient can be produced, especially if it's more upregulated in other samples. Negative correlations indicate that as one gene increases, the other gene decreases. They don't have to be parallel lines. Small fluctuations can really change correlations, especially if the gene is clustered around a very tight line.
- Do we include all three fastings and feedings if little differences change clustering?
