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

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