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

Frequency matrix

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

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