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Table 2 Total number of edges in two predicted collaboration networks of different methods

From: PC-TraFF: identification of potentially collaborating transcription factors using pointwise mutual information

 

Total number of common edges in collaboration networks

 

Genome-wide analysis

Breast cancer analysis

\(\left |\mathcal {E}_{\text {PC-TraFF}_{20}}\cap \mathcal {E}_{\text {PC-TraFF}_{50}}\right |\)

43

54

\(\left |\mathcal {E}_{\text {PC-TraFF}_{20}}\cap \mathcal {E}_{\text {PC-TraFF}_{100}}\right |\)

41

43

\(\left |\mathcal {E}_{\text {PC-TraFF}_{20}}\cap \mathcal {E}_{\textit {MC}}\right |\)

3

1

\(\left |\mathcal {E}_{\text {PC-TraFF}_{20}}\cap \mathcal {E}_{{CPM}}\right |\)

6

0

\(\left |\mathcal {E}_{\text {PC-TraFF}_{20}}\cap \mathcal {E}_{{CrmM}}\right |\)

0

0

\(\left |\mathcal {E}_{\text {PC-TraFF}_{50}}\cap \mathcal {E}_{\text {PC-TraFF}_{100}}\right |\)

82

80

\(\left |\mathcal {E}_{\text {PC-TraFF}_{50}}\cap \mathcal {E}_{\textit {MC}}\right |\)

4

1

\(\left |\mathcal {E}_{\text {PC-TraFF}_{50}}\cap \mathcal {E}_{{CPM}}\right |\)

8

1

\(\left |\mathcal {E}_{\text {PC-TraFF}_{50}}\cap \mathcal {E}_{{CrmM}}\right |\)

2

0

\(\left |\mathcal {E}_{\text {PC-TraFF}_{100}}\cap \mathcal {E}_{\textit {MC}}\right |\)

4

1

\(\left |\mathcal {E}_{\text {PC-TraFF}_{100}}\cap \mathcal {E}_{{CPM}}\right |\)

9

0

\(\left |\mathcal {E}_{\text {PC-TraFF}_{100}}\cap \mathcal {E}_{{CrmM}}\right |\)

2

0

\(\left |\mathcal {E}_{{MC}}\cap \mathcal {E}_{{CPM}}\right |\)

1

0

\(\left |\mathcal {E}_{{MC}}\cap \mathcal {E}_{{CrmM}}\right |\)

0

1

\(\left |\mathcal {E}_{{CPM}}\cap \mathcal {E}_{{CrmM}}\right |\)

3

1