Detailed information of deep learning profile BP000696.1

This page shows detailed deep learning-derived predictions and motifs for REST in PFSK-1 using a single trained BPNet model. Please scroll down the page to browse other models for this transcription factor.

Model details

Name: REST
Model ID: BP000696.1
Cell line/tissue: PFSK-1
Class: C2H2 zinc finger factors
Family: Factors with multiple dispersed zinc fingers
Best Match(es): MA0138.3 MA0138.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q13127  
Source: ENCSR000BJP
Model: BPNet

Contribution weight matrix (CWM)

A [ -9.13e-04 -4.63e-04 -1.03e-03 4.29e-05 3.75e-05 1.08e-01 -2.98e-05 1.24e-01 2.18e-05 -1.02e-03 3.51e-04 2.25e-04 -7.14e-04 ]
C [ 2.66e-03 2.51e-02 3.76e-03 7.38e-05 1.85e-04 1.25e-04 1.08e-01 1.32e-04 1.85e-04 5.55e-02 -9.55e-05 4.48e-02 4.83e-02 ]
G [ 3.34e-02 2.87e-03 -3.15e-04 1.49e-01 1.29e-01 1.57e-04 9.99e-05 0.00e+00 1.46e-01 -7.84e-04 2.01e-02 1.60e-03 -1.33e-04 ]
T [ -1.67e-03 8.56e-06 4.50e-02 1.99e-04 1.40e-04 2.43e-04 -1.27e-04 2.65e-05 1.79e-06 2.02e-04 1.58e-02 -1.09e-03 4.83e-04 ]

Frequency matrix

A [ 634 1087 475 31 74 4250 58 4524 60 716 960 605 463 ]
C [ 1899 1769 591 15 14 208 4087 25 13 2994 150 2838 3271 ]
G [ 1465 745 374 4546 4458 24 344 23 4518 309 1735 894 178 ]
T [ 601 998 3159 7 53 117 110 27 8 580 1754 262 687 ]

Other motif patterns

28 profiles found for the same TF (REST) in other cell types/tissues

Display profiles


Model ID Name Data Source Cell line/tissue Species Sequence logo
BP000032.1 REST ENCSR000BSP MCF-7 Homo sapiens
BP000035.1 REST ENCSR000BTV neural cell Homo sapiens
BP000036.1 REST ENCSR000BUP Panc1 Homo sapiens
BP000037.1 REST ENCSR000BUU Ishikawa Homo sapiens
BP000038.1 REST ENCSR000BVI HCT116 Homo sapiens
BP000063.1 REST ENCSR054JMQ K562 Homo sapiens
BP000075.1 REST ENCSR137ZMQ K562 Homo sapiens
BP000179.1 REST ENCSR893QWP liver Homo sapiens
BP000180.1 REST ENCSR896UBV HEK293 Homo sapiens
BP000343.1 REST ENCSR892DRK A549 Homo sapiens
Showing 10 profiles of page 2 from 3 pages