Detailed information of deep learning profile BP001153.1

This page shows detailed deep learning-derived predictions and motifs for TP53 in HepG2 using a single trained BPNet model.

Model details

Name: TP53
Model ID: BP001153.1
Cell line/tissue: HepG2
Class: p53 domain factors
Family: p53-related factors
Best Match(es): MA0106.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: P04637  
Source: ENCSR980EGJ
Model: BPNet

Contribution weight matrix (CWM)

A [ 1.33e-02 1.25e-05 1.83e-02 5.53e-05 -1.41e-05 -2.44e-04 -8.80e-04 -5.89e-04 3.14e-03 2.25e-03 2.97e-02 0.00e+00 3.06e-02 -1.21e-04 2.41e-06 -2.27e-04 -1.69e-04 ]
C [ -3.59e-05 5.67e-02 -1.04e-03 1.49e-04 -1.80e-05 2.47e-02 3.08e-02 2.12e-02 -5.77e-04 -1.51e-04 0.00e+00 9.63e-02 -2.22e-04 -3.00e-05 -1.78e-05 1.80e-02 2.02e-02 ]
G [ 9.26e-03 -2.38e-04 1.22e-04 -3.95e-04 8.04e-02 -2.01e-04 1.29e-05 -1.21e-04 1.00e-02 3.24e-02 1.02e-02 3.33e-07 7.46e-05 -9.58e-05 8.01e-02 -6.96e-05 -2.09e-04 ]
T [ -5.52e-04 2.53e-04 -9.81e-04 2.57e-02 3.29e-05 6.98e-03 2.52e-04 8.07e-04 -1.14e-03 -2.04e-04 -7.38e-05 0.00e+00 3.78e-04 3.42e-02 -2.28e-06 1.35e-02 1.57e-03 ]

Frequency matrix

A [ 349 15 501 157 0 39 51 67 338 145 499 0 631 112 5 31 84 ]
C [ 57 732 75 25 0 495 636 437 82 12 1 833 24 28 1 436 570 ]
G [ 357 22 45 63 834 10 24 81 332 641 317 1 21 18 828 5 18 ]
T [ 71 65 213 589 0 290 123 249 82 36 17 0 158 676 0 362 162 ]