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

Frequency matrix

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