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Table 2 The unified scores of DeepGRN and the top four algorithms in the DREAM Challenge

From: DeepGRN: prediction of transcription factor binding site across cell-types using attention-based deep neural networks

TF

Cell

Anchor

FactorNet

Cheburashka

Catchitt

DeepGRN

CTCF

PC-3

0.67

0.17

0.83

0.5

0.33

CTCF

induced pluripotent stem cell

0.83

0.33

0.67

0.5

0.17

E2F1

K562

0.5

0.83

0.67

0.17

0.33

EGR1

liver

0.17

0.83

0.67

0.33

0.5

FOXA1

liver

0.67

0.33

0.83

0.5

0.17

FOXA2

liver

0.33

0.83

0.67

0.5

0.17

GABPA

liver

0.33

0.83

0.67

0.5

0.17

HNF4A

liver

0.67

0.33

0.83

0.5

0.17

JUND

liver

0.17

0.83

0.67

0.5

0.33

MAX

liver

0.17

0.83

0.33

0.67

0.5

NANOG

induced pluripotent stem cell

0.33

0.5

0.83

0.67

0.17

REST

liver

0.67

0.33

0.83

0.5

0.17

TAF1

liver

0.17

0.5

0.67

0.33

0.83

  1. Bold scores denote the TF and cell-types that DeepGRN rank as the highest