Detailed information of deep learning profile BP000113.1

This page shows detailed deep learning-derived predictions and motifs for ZBTB24 in HepG2 using a single trained BPNet model.

Model details

Name: ZBTB24
Model ID: BP000113.1
Cell line/tissue: HepG2
Class: C2H2 zinc finger factors
Family: More than 3 adjacent zinc fingers
Best Match(es): MA2330.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: O43167  
Source: ENCSR396XDF
Model: BPNet

Contribution weight matrix (CWM)

A [ 2.86e-03 -4.74e-04 -8.74e-05 2.32e-04 7.67e-05 -1.23e-04 1.76e-04 2.27e-02 -1.62e-04 -1.34e-05 2.40e-02 -5.53e-05 -6.57e-05 -1.35e-04 ]
C [ 1.43e-03 7.63e-04 1.73e-02 -3.65e-04 -4.73e-04 3.54e-03 6.10e-03 -4.00e-06 -9.51e-06 7.76e-06 -2.01e-05 2.32e-02 1.37e-02 2.69e-04 ]
G [ -8.66e-04 2.56e-03 -7.74e-05 8.96e-05 1.28e-03 -2.62e-04 -2.48e-04 -1.35e-04 2.02e-02 2.30e-02 2.95e-06 -3.04e-06 3.58e-06 -4.27e-05 ]
T [ 7.30e-05 -6.31e-04 -1.20e-04 5.81e-03 2.73e-03 -1.25e-04 -8.47e-05 -4.89e-05 -6.68e-05 -8.00e-06 6.44e-05 -5.67e-05 -3.54e-04 9.01e-03 ]

Frequency matrix

A [ 472 195 53 274 186 203 233 1132 74 18 1087 40 103 57 ]
C [ 380 396 994 157 122 585 745 13 14 41 12 1151 973 322 ]
G [ 170 406 84 168 447 200 125 55 1111 1145 80 19 38 96 ]
T [ 200 225 91 623 467 234 119 22 23 18 43 12 108 747 ]