Table 1 |
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|
Model performance (adjusted R2) with different covariates |
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| Intergenic regions |
Coding regions |
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|
|
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| Acetylation sites included |
- |
Seq |
Nuc |
Seq/Nuc |
- |
Seq |
Nuc |
Seq/Nuc |
|
|
||||||||
| - |
0 |
0.1387 |
0.1145 |
0.1997 |
0 |
0.1315 |
0.1440 |
0.2185 |
| H3K9 and H3K14 |
0.1808 |
0.2700 |
0.2641 |
0.3208 |
0.1014 |
0.2059 |
0.2515 |
0.3068 |
| H4 |
0.0849 |
0.2086 |
0.2487 |
0.3085 |
0.0222 |
0.1522 |
0.2131 |
0.2774 |
| H3K9, H3K14, and H4 |
0.1841 |
0.2706 |
0.2704 |
0.3262 |
0.1957 |
0.2627 |
0.2619 |
0.3131 |
|
|
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|
The adjusted R2 for the linear regression model (equation 2) containing different regulatory factors (Nuc, nucleosome occupancy; Seq, sequence information). (The adjusted R2 is related to the (unadjusted) R2 as , where n is the sample size, and p is the number of explanatory variables in the linear regression model.) |
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|
Yuan et al. Genome Biology 2006 7:R70 doi:10.1186/gb-2006-7-8-r70 |
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