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

Frequency matrix

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