Detailed information of deep learning profile BP001052.1

  1. Home
  2. Deep Learning Profile > BP001052.1
This page shows detailed deep learning-derived predictions and motifs for GATA4 in HepG2 using a single trained BPNet model.

Model details

Name: GATA4
Model ID: BP001052.1
Cell line/tissue: HepG2
Class: Other C4 zinc finger-type factors
Family: C4-GATA-related
JASPAR ID: MA0482.3
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: P43694  
Source: ENCSR590CNM
Model: BPNet
Download trained model
Download TF-MoDISco Report

Sequence logo

Contribution weight matrix (CWM)

     
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

Frequency matrix

       
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

Hypothetical CWM

     
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

Other motifs identified by TF-MoDISco

Number of seqlets: 3647

CWM

       
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

PFM

       
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

HCWM

     
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

Number of seqlets: 1240

CWM

       
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

PFM

       
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

HCWM

     
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

Number of seqlets: 621

CWM

       
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

PFM

       
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

HCWM

     
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

Number of seqlets: 421

CWM

       
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

PFM

       
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

HCWM

     
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

Number of seqlets: 239

CWM

       
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

PFM

       
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

HCWM

     
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

Number of seqlets: 192

CWM

       
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

PFM

       
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

HCWM

     
A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
C [ ]
G [ ]
T [ ]

Unique motifs

This is a placeholder for the motifs that are found to be specific to this particular model, i.e., not found in other models trained for GATA4.