Detailed information of deep learning profile BP000072.1

This page shows detailed deep learning-derived predictions and motifs for ZNF384 in HepG2 using a single trained BPNet model.

Model details

Name: ZNF384
Model ID: BP000072.1
Cell line/tissue: HepG2
Class: C2H2 zinc finger factors
Family: More than 3 adjacent zinc fingers
Best Match(es): MA1125.1
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q8TF68  
Source: ENCSR101FJU
Model: BPNet

Contribution weight matrix (CWM)

A [ 2.12e-02 3.04e-02 4.19e-02 5.79e-02 6.98e-02 7.72e-02 7.90e-02 7.45e-02 6.46e-02 5.00e-02 3.44e-02 2.45e-02 1.67e-02 ]
C [ -3.01e-04 -2.40e-04 -1.22e-04 2.09e-05 1.67e-05 6.08e-06 8.29e-06 2.03e-05 1.59e-05 -3.57e-05 -1.32e-04 4.02e-06 1.18e-04 ]
G [ 5.02e-05 -1.52e-04 -5.98e-05 -1.95e-05 -4.33e-06 -2.78e-06 0.00e+00 0.00e+00 0.00e+00 -4.45e-05 -3.41e-04 5.80e-05 4.25e-04 ]
T [ 4.30e-04 3.79e-04 -5.76e-05 -5.42e-06 -1.30e-06 -5.69e-06 0.00e+00 2.16e-06 -7.09e-06 -1.12e-04 -6.53e-04 -3.79e-04 -2.04e-04 ]

Frequency matrix

A [ 55634 60744 65723 73255 74783 74901 74914 74881 74543 69904 60661 54429 48975 ]
C [ 4429 2641 1517 230 59 21 32 44 228 1918 3830 5298 7115 ]
G [ 6698 6202 5597 1300 88 19 10 16 76 1399 4382 7554 10313 ]
T [ 8212 5387 2135 188 43 32 17 32 126 1752 6100 7691 8570 ]