Detailed information of deep learning profile BP000129.1

This page shows detailed deep learning-derived predictions and motifs for ZNF142 in HepG2 using a single trained BPNet model.

Model details

Name: ZNF142
Model ID: BP000129.1
Cell line/tissue: HepG2
Class: C2H2 zinc finger factors
Family: Factors with multiple dispersed zinc fingers
Best Match(es): MA2583.1
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: P52746  
Source: ENCSR512ECF
Model: BPNet

Contribution weight matrix (CWM)

A [ 7.06e-04 -4.65e-04 -1.24e-04 -5.18e-05 -5.04e-05 -6.21e-05 -1.36e-04 3.12e-04 -2.35e-05 -5.86e-05 -9.49e-05 -2.69e-04 -1.69e-04 ]
C [ 4.06e-04 2.62e-03 9.02e-04 2.16e-02 8.93e-05 9.29e-04 5.80e-04 2.12e-02 3.84e-04 7.11e-04 4.97e-04 9.82e-03 5.95e-04 ]
G [ 6.12e-03 1.48e-03 6.32e-03 2.61e-05 2.18e-02 1.32e-02 8.87e-03 2.21e-05 2.09e-02 1.53e-02 1.06e-02 9.60e-05 5.19e-03 ]
T [ -2.09e-04 -3.83e-06 2.17e-04 -9.14e-05 -2.17e-05 -8.77e-05 3.70e-04 -4.17e-05 -3.66e-05 -2.95e-05 -9.47e-05 -1.27e-05 -2.24e-04 ]

Frequency matrix

A [ 4536 3640 1081 372 315 740 587 952 229 941 2058 3621 4341 ]
C [ 7396 9542 8114 25429 758 5124 6397 25541 1588 4633 6901 14209 8551 ]
G [ 11439 9738 14676 526 25325 20326 17947 155 24560 20633 15838 5689 9308 ]
T [ 3346 3796 2844 389 318 526 1785 68 339 509 1919 3198 4517 ]