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

Frequency matrix

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

Alternative motif patterns (AMPs)