Detailed information of deep learning profile BP000086.1

This page shows detailed deep learning-derived predictions and motifs for ZBTB26 in HepG2 using a single trained BPNet model.

Model details

Name: ZBTB26
Model ID: BP000086.1
Cell line/tissue: HepG2
Class: C2H2 zinc finger factors
Family: More than 3 adjacent zinc fingers
Best Match(es): MA1579.1
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q9HCK0  
Source: ENCSR184SVO
Model: BPNet

Contribution weight matrix (CWM)

A [ -9.95e-05 0.00e+00 -1.74e-05 2.21e-02 -4.59e-06 2.95e-02 7.41e-03 ]
C [ 1.26e-05 6.28e-02 1.57e-02 1.43e-05 0.00e+00 8.27e-05 2.23e-04 ]
G [ 7.28e-05 0.00e+00 6.10e-06 3.30e-04 6.61e-02 4.39e-06 3.78e-03 ]
T [ 3.08e-02 2.15e-06 7.77e-03 -1.09e-04 0.00e+00 -9.84e-05 -8.63e-04 ]

Frequency matrix

A [ 793 0 504 16802 1 17759 8953 ]
C [ 356 20326 11731 362 0 1309 2293 ]
G [ 974 0 19 2074 20327 434 5762 ]
T [ 18205 2 8074 1090 0 826 3320 ]