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

Frequency matrix

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

Alternative motif patterns (AMPs)