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

Frequency matrix

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

Alternative motif patterns (AMPs)

Other motif patterns