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

Frequency matrix

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