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Table 4 Impact of two marks in MARS model

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

Bivalent MARS term

low-low

low-high

high-low

high-high

H3K27me2-H3K9me1

4.796

4.796

3.866

3.377

H3K27me2-H3K27me3

5.212

3.723

3.677

3.677

H2BK5me1-H3K27me2

5.009

3.677

3.807

3.677

H3K36me3-H4R3me2

3.530

3.468

5.618

4.556

H3K79me2-H4K20me1

3.709

5.211

3.709

4.879

H3K79me1-H3K79me3

3.009

5.938

4.721

5.228

H3K36me3-H4K20me1

3.217

4.163

4.599

7.218

  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.