Detailed information of deep learning profile BP001166.1

This page shows detailed deep learning-derived predictions and motifs for HSF2 in HepG2 using a single trained BPNet model.

Model details

Name: HSF2
Model ID: BP001166.1
Cell line/tissue: HepG2
Class: Heat shock factors
Family: HSF factors
Best Match(es): MA0770.1
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q03933  
Source: ENCSR764ZBK
Model: BPNet

Contribution weight matrix (CWM)

A [ -8.07e-04 -4.43e-04 4.94e-05 -2.74e-04 1.98e-02 0.00e+00 4.53e-02 3.01e-02 -9.63e-04 -8.36e-04 -3.85e-04 -2.91e-04 -6.17e-05 ]
C [ -1.80e-04 -1.97e-04 7.33e-02 4.09e-03 4.00e-04 -2.99e-06 -2.23e-04 -1.82e-04 6.41e-03 -1.73e-03 -3.72e-04 -2.34e-04 6.05e-02 ]
G [ 2.16e-04 -6.06e-05 1.48e-05 2.47e-04 5.63e-03 1.01e-01 -3.20e-04 -8.54e-05 -3.21e-04 4.76e-03 -3.40e-04 -2.16e-04 -8.65e-05 ]
T [ 1.86e-02 3.65e-02 -4.73e-05 2.08e-02 -2.82e-04 0.00e+00 -3.84e-04 -8.62e-04 -1.34e-03 -3.54e-04 3.01e-02 4.50e-02 -2.32e-04 ]

Frequency matrix

A [ 898 610 295 239 4387 0 6413 6133 1753 1884 897 600 349 ]
C [ 1036 751 7167 2504 432 3 602 449 2439 1898 831 577 6490 ]
G [ 912 729 157 392 2795 7728 275 530 1849 1891 601 465 379 ]
T [ 4885 5640 112 4596 117 0 441 619 1690 2058 5402 6089 513 ]