Detailed information of deep learning profile BP000299.1

This page shows detailed deep learning-derived predictions and motifs for BNC2 in SK-N-SH using a single trained BPNet model.

Model details

Name: BNC2
Model ID: BP000299.1
Cell line/tissue: SK-N-SH
Class: C2H2 zinc finger factors
Family: Factors with multiple dispersed zinc fingers
Best Match(es): MA1928.1
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q6ZN30  
Source: ENCSR754GYI
Model: BPNet

Contribution weight matrix (CWM)

A [ 4.35e-03 -1.90e-06 -3.34e-06 1.73e-02 -3.95e-04 8.93e-06 1.33e-04 1.71e-02 -3.23e-04 ]
C [ -4.62e-05 6.55e-07 2.42e-06 3.87e-06 6.40e-03 0.00e+00 1.41e-02 -1.57e-06 7.37e-04 ]
G [ 1.71e-03 -3.37e-06 1.56e-02 -4.14e-06 1.19e-03 9.51e-07 5.24e-06 -3.73e-07 8.78e-05 ]
T [ -1.37e-04 1.93e-02 9.87e-05 2.83e-06 -1.13e-04 1.53e-02 -6.62e-06 -2.73e-06 3.63e-03 ]

Frequency matrix

A [ 17051 42 1443 29572 3772 738 4607 29290 3964 ]
C [ 4366 69 232 275 15037 158 22962 216 7134 ]
G [ 7883 33 26484 86 5280 641 541 354 7589 ]
T [ 968 30123 2108 334 6178 28730 2157 407 11579 ]