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Table 5 Results for the set of computational methods considered for each TF of the Mus musculus organism. The ν auc is defined through the mean and variance of the A U C N using a cross-validation method. Given a TF and method, the ν auc is chosen with maximum mean and lower variance in the A U C N

From: Sequence information gain based motif analysis

   

ν AUC

    

TFBS

MEME/MAST

Qresiduals

SIGMA

Entropy

Divergence

Biostrings

MotifRegressor

Pax2

0.89161

0.96215

0.98572

0.96323

0.94998

0.98245

0.93971

FOXO3

0.98005

0.97719

1

0.93721

0.91796

0.97079

0.972

NFkappaB

0.92656

0.99944

0.982322

0.99949

0.99723

0.99939

0.96767

ARID3A

0.99757

0.99764

1

0.99771

0.99548

0.99753

0.98933

EBF1

0.80379

0.99787

1

0.9964

0.99593

0.99769

0.95929

En1

0.85943

0.90921

1

0.93119

0.94558

0.8736

0.96797

NR3C1

0.91904

0.98873

1

0.99017

0.98844

0.95811

0.94069

Egr1

0.99983

0.99996

1

0.99956

0.99826

0.99969

0.961

Ap1

0.98823

0.97044

1

0.99828

0.99672

0.96902

0.98861

Runx1

0.99937

0.99891

0.99323

0.99601

0.99743

0.99951

0.93645

CREB1

0.99997

0.99953

1

1

0.99958

0.99987

0.97698

AhrARNT

0.87593

0.99816

1

0.99828

0.99672

0.99721

0.99901

Pdx1

0.93796

0.99565

0.99499

0.99669

0.97722

0.99871

0.94051

NFATC2

0.91883

0.98219

0.98581

0.95394

0.934316

0.93503

0.9475

Lhx3

0.99961

0.99924

0.98846

0.99862

0.99852

0.9981

0.97183

ARNT

0.99998

0.99935

1

0.99945

0.99945

0.9999

0.9999

ELF5

0.98992

0.99045

0.98593

0.99641

0.99593

0.99453

0.97089