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

Frequency matrix

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