Detailed information of deep learning profile BP000094.1

This page shows detailed deep learning-derived predictions and motifs for ZBTB42 in HepG2 using a single trained BPNet model.

Model details

Name: ZBTB42
Model ID: BP000094.1
Cell line/tissue: HepG2
Class: C2H2 zinc finger factors
Family: More than 3 adjacent zinc fingers
Best Match(es): UN0312.1
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: B2RXF5  
Source: ENCSR232AAR
Model: BPNet

Contribution weight matrix (CWM)

A [ 9.10e-04 -4.42e-06 2.11e-02 1.98e-05 1.16e-02 2.11e-06 4.93e-06 -1.46e-05 -7.16e-05 ]
C [ 7.66e-03 2.85e-02 9.68e-06 5.06e-06 2.54e-03 0.00e+00 0.00e+00 8.38e-05 -2.61e-05 ]
G [ 6.11e-05 8.83e-07 9.49e-06 2.18e-02 -1.03e-05 2.62e-05 2.88e-02 -4.69e-06 3.96e-03 ]
T [ -2.41e-05 0.00e+00 -1.14e-05 -2.12e-06 4.49e-07 2.31e-02 2.33e-06 2.02e-02 3.86e-03 ]

Frequency matrix

A [ 774 28 3245 74 1875 25 5 48 237 ]
C [ 1877 3340 38 149 1282 8 15 260 323 ]
G [ 623 6 23 3118 64 139 3345 123 1557 ]
T [ 105 5 73 38 158 3207 14 2948 1262 ]

Other motif patterns