Detailed information of deep learning profile BP001253.1

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

Model details

Name: NFYC
Model ID: BP001253.1
Cell line/tissue: HepG2
Class: Heteromeric CCAAT-binding factors
Family: Heteromeric CCAAT-binding
Best Match(es): MA1644.1
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q13952  
Source: ENCSR569ARC
Model: BPNet

Contribution weight matrix (CWM)

A [ -3.55e-04 -1.12e-04 9.39e-02 -1.28e-06 1.33e-04 -2.49e-05 2.82e-05 -9.67e-04 -9.41e-04 ]
C [ 1.05e-02 -1.46e-03 -4.07e-06 -9.19e-05 -6.42e-07 -4.46e-05 -2.69e-05 9.08e-03 7.86e-03 ]
G [ -1.10e-03 1.49e-02 3.78e-05 -1.19e-04 -1.11e-05 6.44e-02 7.92e-02 -1.23e-03 -1.05e-03 ]
T [ 1.74e-02 -4.97e-04 -1.42e-05 8.08e-02 7.80e-02 -3.88e-05 -6.94e-06 6.13e-03 6.73e-03 ]

Frequency matrix

A [ 1003 2145 30207 633 1794 690 911 3486 2674 ]
C [ 8923 7388 0 2144 219 810 394 12186 10687 ]
G [ 3616 17308 41 1051 147 27984 28778 2806 6987 ]
T [ 16709 3410 3 26424 28091 767 168 11772 9904 ]

Alternative motif patterns (AMPs)

Other motif patterns