Skip to main content

Table 5 Impact of three marks in MARS model

From: Application of machine learning methods to histone methylation ChIP-Seq data reveals H4R3me2 globally represses gene expression

Trivalent MARS term

low-low-low

low-low-high

low-high-low

low-high-high

high-low-low

high-low-high

high-high-low

high-high-high

H2BK5me1

        

H3K27me2

5.087

4.827

3.677

3.677

3.845

3.719

3.677

3.677

H4K20me3

        

H3K27me2

        

H3K27me3

4.739

7.352

3.373

4.616

3.327

4.570

3.327

4.570

H4K20me1

        

H3K4me3

        

H3K79me2

3.709

4.944

3.709

4.722

3.709

5.712

3.709

5.172

H4K20me1

        

H3K36me3

        

H3K79me1

4.000

3.561

3.649

4.595

4.058

6.616

5.031

7.651

H4K20me1

        
  1. The mean predicted gene expression using high (95th percentile) and low (5th percentile) amplitude values of each mark described in the leftmost column. The permutations of high and low values in each column correspond to the mark order in the leftmost column. The rows are sorted by the values in the last column.
Back to article page

BMC Bioinformatics

ISSN: 1471-2105

Contact us