Detailed information of deep learning profile BP001094.1

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

Model details

Name: CEBPA
Model ID: BP001094.1
Cell line/tissue: HepG2
Class: Basic leucine zipper factors (bZIP)
Family: CEBP-related
Best Match(es): MA0102.3
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q62857  
Source: ENCSR142IGM
Model: BPNet

Contribution weight matrix (CWM)

A [ 2.84e-02 6.09e-07 1.61e-06 2.86e-03 -9.52e-06 7.89e-03 3.70e-03 4.25e-02 1.02e-01 -5.32e-04 ]
C [ -2.38e-04 -1.03e-06 0.00e+00 3.62e-06 1.01e-01 -2.75e-03 1.85e-02 1.34e-02 -3.64e-06 1.48e-02 ]
G [ 6.98e-03 0.00e+00 1.47e-04 4.96e-02 -1.57e-05 2.17e-02 -9.95e-05 -1.58e-05 -7.65e-06 -1.32e-04 ]
T [ -2.45e-04 1.19e-01 1.10e-01 1.03e-03 -6.02e-06 -3.85e-03 8.24e-03 -1.18e-05 -1.25e-05 1.29e-02 ]

Frequency matrix

A [ 52085 3 6 20491 1504 48978 25242 59666 100428 7368 ]
C [ 17920 49 7 415 99557 18245 39533 42063 1335 37786 ]
G [ 29317 5 1263 57866 2043 21738 4062 1318 2083 19827 ]
T [ 5465 104731 103512 26017 1683 15827 35951 1740 942 39807 ]

Alternative motif patterns (AMPs)