Detailed information of deep learning profile BP001373.1

This page shows detailed deep learning-derived predictions and motifs for BACH2 in SK-N-SH using a single trained BPNet model.

Model details

Name: BACH2
Model ID: BP001373.1
Cell line/tissue: SK-N-SH
Class: Basic leucine zipper factors (bZIP)
Family: Jun-related
JASPAR ID: MA1101.3
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q9BYV9  
Source: ENCSR036THH
Model: BPNet
Download trained model
Download TF-MoDISco Report

Contribution weight matrix (CWM)

A [ -0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 ]
C [ 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 ]
G [ 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 0.00 -0.00 0.00 ]
T [ -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.00 -0.00 0.00 ]

Frequency matrix

A [ 83 85 69 80 65 73 75 63 75 90 62 67 90 87 75 89 104 137 138 62 32 4 19 10 12 251 20 10 19 276 10 69 71 79 82 64 93 80 53 79 49 86 77 70 69 76 80 84 79 71 ]
C [ 49 51 73 64 60 65 62 84 63 69 48 63 62 59 71 42 35 46 37 73 21 1 257 3 11 11 41 6 244 3 62 55 63 84 42 56 67 57 78 50 71 65 70 51 71 70 56 64 63 60 ]
G [ 70 72 72 63 67 72 57 60 65 55 85 74 48 77 60 88 59 31 29 51 19 275 2 8 238 4 203 5 7 3 18 88 68 31 75 84 60 66 73 62 68 61 61 74 64 56 50 50 59 73 ]
T [ 80 74 68 75 90 72 88 75 79 68 87 78 82 59 76 63 84 68 78 96 210 2 4 261 21 16 18 261 12 0 192 70 80 88 83 78 62 79 78 91 94 70 74 87 78 80 96 84 81 78 ]

Hypothetical CWM

A [ -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 ]
C [ -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 ]
G [ -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 ]
T [ -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 ]

Other motifs identified by TF-MoDISco

Motif name: counts.pos_patterns.pattern_1

Num. of seqlets: 265

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 29

Motif name: counts.neg_patterns.pattern_1

Num. of seqlets: 24