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Table 1 The performance of DeepGRN with four metrics used in the DREAM Challenge

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

TF name

Cell-type

auROC

auPRC

Recall at 50% FDR

Recall at 10% FDR

CTCF

PC-3

0.987

0.767

0.766

0.603

CTCF

induced pluripotent stem cell

0.998

0.902

0.945

0.744

E2F1

K562

0.989

0.404

0.388

0.100

EGR1

liver

0.993

0.405

0.318

0.021

FOXA1

liver

0.985

0.546

0.584

0.164

FOXA2

liver

0.984

0.548

0.588

0.143

GABPA

liver

0.991

0.516

0.488

0.154

HNF4A

liver

0.971

0.636

0.700

0.263

JUND

liver

0.983

0.535

0.585

0.027

MAX

liver

0.990

0.425

0.349

0.004

NANOG

induced pluripotent stem cell

0.996

0.499

0.515

0.035

REST

liver

0.986

0.482

0.527

0.030

TAF1

liver

0.989

0.424

0.393

0.000