Detailed information of deep learning profile BP000073.1

This page shows detailed deep learning-derived predictions and motifs for ZNF394 in HEK293 using a single trained BPNet model.

Model details

Name: ZNF394
Model ID: BP000073.1
Cell line/tissue: HEK293
Class: C2H2 zinc finger factors
Family: More than 3 adjacent zinc fingers
Best Match(es): UN0813.1
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q53GI3  
Source: ENCSR125DNC
Model: BPNet

Contribution weight matrix (CWM)

A [ 1.71e-03 5.12e-04 4.50e-02 -2.70e-05 1.14e-03 4.78e-02 -1.83e-05 3.12e-06 -6.11e-04 -1.74e-04 ]
C [ 3.71e-05 2.21e-05 5.03e-05 1.51e-06 1.03e-03 8.75e-05 -1.18e-04 5.54e-02 -1.02e-04 4.27e-04 ]
G [ 2.13e-02 4.56e-02 3.73e-05 3.82e-02 -5.29e-04 1.50e-05 2.96e-02 1.20e-06 1.03e-03 1.28e-02 ]
T [ -3.30e-04 -2.89e-07 5.22e-06 7.53e-04 1.70e-02 2.46e-06 -8.98e-06 4.61e-07 1.40e-02 3.76e-04 ]

Frequency matrix

A [ 7398 3039 32699 769 8784 32479 1404 253 5143 2209 ]
C [ 2328 47 151 93 7892 627 2381 33775 4749 5381 ]
G [ 21862 31191 1405 31061 4072 692 28120 136 5130 21758 ]
T [ 2747 58 80 2412 13587 537 2429 171 19313 4987 ]