Detailed information of deep learning profile BP001303.1

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

Contribution weight matrix (CWM)

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

Frequency matrix

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

Hypothetical CWM

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

Other motifs identified by TF-MoDISco

Motif name: counts.pos_patterns.pattern_1

Num. of seqlets: 4736

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 3385

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 2003

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 1073

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 1045

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 744

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 734

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 706

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 316

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 185

Motif name: counts.pos_patterns.pattern_11

Num. of seqlets: 149

Motif name: counts.pos_patterns.pattern_12

Num. of seqlets: 146

Motif name: counts.pos_patterns.pattern_13

Num. of seqlets: 105

Motif name: counts.pos_patterns.pattern_14

Num. of seqlets: 95

Motif name: counts.pos_patterns.pattern_16

Num. of seqlets: 55

Motif name: counts.pos_patterns.pattern_19

Num. of seqlets: 33

Motif name: counts.pos_patterns.pattern_21

Num. of seqlets: 28