Detailed information of deep learning profile BP000173.1

This page shows detailed deep learning-derived predictions and motifs for GFI1 in HepG2 using a single trained BPNet model.

Model details

Name: GFI1
Model ID: BP000173.1
Cell line/tissue: HepG2
Class: C2H2 zinc finger factors
Family: More than 3 adjacent zinc fingers
Best Match(es): MA0038.3
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q99684  
Source: ENCSR849FVL
Model: BPNet

Contribution weight matrix (CWM)

A [ 1.08e-02 4.64e-02 4.74e-02 1.65e-05 7.96e-07 1.09e-02 5.57e-04 2.37e-03 1.28e-04 -1.51e-04 ]
C [ 2.50e-03 0.00e+00 3.53e-06 -5.64e-06 4.44e-02 -1.39e-04 1.18e-02 -8.19e-05 -1.53e-04 1.63e-02 ]
G [ -3.04e-04 1.03e-05 1.03e-05 1.77e-05 2.31e-05 -1.05e-05 2.56e-03 1.02e-03 2.25e-02 -2.74e-04 ]
T [ -7.93e-05 -1.02e-06 1.93e-05 3.94e-02 -1.29e-06 6.48e-03 -4.17e-05 4.34e-03 -1.73e-04 8.35e-04 ]

Frequency matrix

A [ 12572 24319 24341 514 259 12415 3080 8910 3036 3567 ]
C [ 6346 6 46 639 23803 1820 11698 1292 2531 13109 ]
G [ 2653 107 84 258 57 526 8301 5349 15403 2767 ]
T [ 2926 65 26 23086 378 9736 1419 8946 3528 5053 ]