Detailed information of deep learning profile BP001257.1

This page shows detailed deep learning-derived predictions and motifs for ONECUT2 in HepG2 using a single trained BPNet model.

Model details

Name: ONECUT2
Model ID: BP001257.1
Cell line/tissue: HepG2
Class: Homeo domain factors
Family: HD-CUT
Best Match(es): MA0756.3
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q3KNT2  
Source: ENCSR661PKJ
Model: BPNet

Contribution weight matrix (CWM)

A [ 9.32e-02 1.61e-06 -1.70e-04 0.00e+00 1.09e-01 -3.12e-05 -6.65e-05 ]
C [ -1.16e-05 -6.07e-07 2.41e-02 0.00e+00 4.51e-06 4.31e-04 1.73e-02 ]
G [ 4.30e-05 0.00e+00 -8.22e-05 1.28e-01 3.99e-06 -4.07e-05 -1.57e-04 ]
T [ 3.09e-05 1.03e-01 2.69e-02 1.96e-05 6.06e-06 7.28e-02 2.23e-02 ]

Frequency matrix

A [ 9876 190 408 23 10769 390 551 ]
C [ 56 77 3535 1 22 903 3610 ]
G [ 372 10 255 10871 67 91 556 ]
T [ 663 10690 6769 72 109 9583 6250 ]

Alternative motif patterns (AMPs)