Detailed information of deep learning profile BP000490.1

This page shows detailed deep learning-derived predictions and motifs for MEF2D in K562 using a single trained BPNet model.

Model details

Name: MEF2D
Model ID: BP000490.1
Cell line/tissue: K562
Class: MADS box factors
Family: Regulators of differentiation
Best Match(es): MA0773.1
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q05BX2  
Source: ENCSR647ZXA
Model: BPNet

Contribution weight matrix (CWM)

A [ -1.09e-03 -2.81e-04 -4.08e-05 2.89e-02 1.73e-02 3.05e-02 2.07e-02 3.68e-02 -5.08e-05 4.75e-02 1.25e-04 2.89e-03 ]
C [ -9.30e-04 2.67e-02 5.72e-03 9.69e-05 -8.87e-05 -3.39e-06 -5.98e-05 8.32e-06 -9.13e-06 1.66e-05 -3.08e-04 6.61e-03 ]
G [ 5.47e-03 -2.07e-04 -4.55e-06 -1.96e-04 -3.67e-05 1.14e-04 4.28e-06 -6.40e-05 6.32e-06 2.18e-04 3.06e-02 -8.25e-04 ]
T [ 2.65e-03 -5.89e-04 2.89e-02 -2.14e-04 4.77e-03 4.56e-04 1.76e-03 1.11e-03 5.19e-02 -1.48e-05 -3.48e-04 -8.59e-04 ]

Frequency matrix

A [ 1419 908 80 4819 4797 6112 6002 6486 95 6797 1192 2654 ]
C [ 899 4764 2587 833 175 23 105 8 31 4 495 2696 ]
G [ 2314 363 72 312 748 470 247 34 10 103 4896 655 ]
T [ 2277 874 4170 945 1188 304 555 381 6773 5 326 904 ]