Detailed information of deep learning profile BP000459.1

This page shows detailed deep learning-derived predictions and motifs for REST in HeLa-S3 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: BP000459.1
Cell line/tissue: HeLa-S3
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: ENCSR000BMN
Model: BPNet

Contribution weight matrix (CWM)

A [ 4.19e-04 -1.16e-03 8.24e-03 3.78e-04 0.00e+00 -1.86e-05 -6.02e-05 3.43e-05 9.56e-05 -1.13e-06 4.43e-02 1.58e-03 -1.21e-03 ]
C [ -8.32e-04 2.27e-03 1.61e-02 -7.68e-04 1.43e-01 4.88e-06 -1.00e-04 -5.77e-05 1.26e-01 1.42e-01 -4.83e-04 5.61e-04 3.24e-02 ]
G [ 4.25e-02 3.27e-02 -2.71e-04 6.87e-02 -1.01e-05 1.57e-05 9.37e-02 1.62e-04 -3.91e-06 -8.68e-06 9.51e-04 3.28e-02 1.95e-03 ]
T [ -7.93e-04 4.52e-04 3.12e-03 -1.71e-03 -1.79e-05 1.06e-01 -8.28e-05 1.02e-01 6.79e-05 -8.38e-06 -7.22e-04 -7.62e-04 -3.80e-04 ]

Frequency matrix

A [ 1889 847 3291 1271 22 110 379 289 46 26 6416 2422 1552 ]
C [ 572 2187 3158 648 9634 44 986 81 9475 9565 1094 1668 2701 ]
G [ 5992 5048 392 6661 21 67 8059 402 11 25 937 3274 3820 ]
T [ 1303 1673 2915 1175 78 9534 331 8983 223 139 1309 2391 1683 ]

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
BP000001.1 REST ENCSR000ATM K562 Homo sapiens
BP000002.1 REST ENCSR000BGF GM12878 Homo sapiens
BP000004.1 REST ENCSR000BHM H1 Homo sapiens
BP000006.1 REST ENCSR000BJL HepG2 Homo sapiens
BP000007.1 REST ENCSR000BJO Panc1 Homo sapiens
BP000017.1 REST ENCSR000BMW K562 Homo sapiens
BP000024.1 REST ENCSR000BOT HepG2 Homo sapiens
BP000025.1 REST ENCSR000BOX PFSK-1 Homo sapiens
BP000027.1 REST ENCSR000BPK Panc1 Homo sapiens
BP000030.1 REST ENCSR000BQS GM12878 Homo sapiens
Showing 10 profiles of page 1 from 3 pages