Detailed information of deep learning profile BP000984.1

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

Model details

Name: HLF
Model ID: BP000984.1
Cell line/tissue: HepG2
Class: Basic leucine zipper factors (bZIP)
Family: CEBP-related
JASPAR ID: MA0043.4
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q16534  
Source: ENCSR528PSI
Model: BPNet
Download trained model
Download TF-MoDISco Report

Sequence logo

Contribution weight matrix (CWM)

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Frequency matrix

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Hypothetical CWM

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Other motifs identified by TF-MoDISco

Number of seqlets: 976

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Number of seqlets: 99

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Number of seqlets: 54

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Number of seqlets: 762

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Number of seqlets: 698

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 324

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Number of seqlets: 288

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 222

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 181

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Number of seqlets: 125

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Number of seqlets: 107

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 30

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Number of seqlets: 27

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Number of seqlets: 26

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Number of seqlets: 23

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Number of seqlets: 23

A [ A placeholder to be filled. All the buttons will become functional after matrix data is populated. ]
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Number of seqlets: 23

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Number of seqlets: 21

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Number of seqlets: 20

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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 HLF.