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

Frequency matrix

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

Other motif patterns