Detailed information of deep learning profile BP001303.1

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

Model details

Name: CEBPA
Model ID: BP001303.1
Cell line/tissue: HepG2
Class: Basic leucine zipper factors (bZIP)
Family: CEBP-related
JASPAR ID: MA0102.5
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: P53566  
Source: ENCSR142IGM
Model: BPNet
Download trained model
Download TF-MoDISco Report

Sequence logo

 

Contribution weight matrix (CWM)

 
A [ 0.00 0.00 -0.00 -0.00 0.03 0.00 0.00 0.00 -0.00 0.01 0.00 0.04 0.10 -0.00 0.00 -0.00 -0.00 ]
C [ 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.00 0.10 -0.00 0.02 0.01 -0.00 0.01 0.00 0.00 0.01 ]
G [ 0.00 0.00 0.00 0.01 0.01 0.00 0.00 0.05 -0.00 0.02 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.00 ]
T [ -0.00 -0.00 -0.00 0.00 -0.00 0.12 0.11 0.00 -0.00 -0.00 0.01 -0.00 -0.00 0.01 -0.00 -0.00 0.00 ]

Frequency matrix

       
A [ 8320 4973 5034 4551 4702 5159 4669 8206 5212 4646 4848 8190 4627 4674 5167 6886 7264 3407 13060 1 2 2988 45 10790 3940 11219 20656 463 5545 4110 3634 7987 4219 4266 4763 4944 8172 4845 4485 4788 4658 4804 4934 4997 5046 6195 8136 5233 7984 5556 ]
C [ 3773 3732 4208 4836 3888 3817 7267 3756 4011 3801 3699 3639 4059 7482 5674 3419 3715 2457 2344 1 0 3 20558 2056 9785 9448 30 9231 5534 4682 8385 4008 7175 4050 7404 7148 3602 3725 7387 7321 4063 3735 3793 4045 5360 3759 4258 7109 3920 4025 ]
G [ 3997 7322 6827 3832 3914 7162 3984 4073 7015 3857 7531 4127 7822 3909 4076 6855 4381 8856 4931 0 165 14312 38 5471 113 20 28 2536 2175 7152 3128 3917 3964 4058 3718 3696 3827 7459 3642 3876 3765 7365 7219 6843 3957 5896 3859 3657 4065 6431 ]
T [ 4641 4704 4662 7512 8227 4593 4811 4696 4493 8427 4653 4775 4223 4666 5814 3571 5371 6011 396 20729 20564 3428 90 2414 6893 44 17 8501 7477 4787 5584 4819 5373 8357 4846 4943 5130 4702 5217 4746 8245 4827 4785 4846 6368 4881 4478 4732 4762 4719 ]

Hypothetical CWM

   
A [ 0.00 0.00 0.00 -0.01 0.04 -0.06 -0.07 0.03 -0.02 0.02 0.03 0.08 0.10 -0.04 0.01 -0.00 -0.00 -0.00 ]
C [ 0.01 0.01 0.01 0.00 0.00 -0.04 -0.06 -0.10 0.10 -0.03 0.03 0.03 -0.05 0.04 0.02 0.02 0.02 0.01 ]
G [ 0.01 0.02 0.02 0.02 0.04 -0.06 0.01 0.07 -0.03 0.08 -0.08 -0.06 -0.02 0.00 -0.00 0.01 0.01 0.01 ]
T [ -0.00 -0.01 -0.00 0.02 -0.05 0.12 0.11 0.02 -0.00 -0.02 0.03 -0.06 -0.06 0.04 -0.00 0.00 0.00 -0.00 ]

Other motifs identified by TF-MoDISco

 

Motif name: counts.pos_patterns.pattern_1

Num. of seqlets: 4736

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 3385

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 2003

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 1073

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 1045

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 744

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 734

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 706

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 316

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 185

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_11

Num. of seqlets: 149

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_12

Num. of seqlets: 146

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_13

Num. of seqlets: 105

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_14

Num. of seqlets: 95

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_16

Num. of seqlets: 55

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_19

Num. of seqlets: 33

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_21

Num. of seqlets: 28

CWM

PFM

     

HCWM