Detailed information of deep learning profile BP000079.1

This page shows detailed deep learning-derived predictions and motifs for ZKSCAN5 in HepG2 using a single trained BPNet model.

Model details

Name: ZKSCAN5
Model ID: BP000079.1
Cell line/tissue: HepG2
Class: C2H2 zinc finger factors
Family: Factors with multiple dispersed zinc fingers
Best Match(es): MA1652.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q9Y2L8  
Source: ENCSR159BTO
Model: BPNet

Contribution weight matrix (CWM)

A [ 1.07e-04 -5.99e-06 3.17e-02 1.03e-03 -1.26e-04 -2.58e-04 1.18e-04 3.28e-02 ]
C [ -2.42e-07 4.17e-06 2.04e-05 2.72e-06 3.04e-06 3.79e-04 -9.98e-07 4.21e-06 ]
G [ 2.35e-02 4.06e-02 0.00e+00 2.79e-02 1.71e-02 -6.72e-05 3.22e-02 2.08e-06 ]
T [ -1.51e-04 0.00e+00 -1.40e-05 0.00e+00 2.45e-03 1.71e-02 -1.56e-06 -1.52e-05 ]

Frequency matrix

A [ 1462 42 9848 1595 681 1756 821 9877 ]
C [ 81 4 148 37 238 873 61 125 ]
G [ 8361 10242 9 8666 7111 1059 9396 96 ]
T [ 406 22 305 12 2280 6622 32 212 ]

Other motif patterns