Detailed information of deep learning profile BP001351.1

This page shows detailed deep learning-derived predictions and motifs for XBP1 in HepG2 using a single trained BPNet model.

Model details

Name: XBP1
Model ID: BP001351.1
Cell line/tissue: HepG2
Class:
Family:
JASPAR ID: MA0844.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: P40489  
Source: ENCSR988EVQ
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 0.01 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 0.01 -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 0.01 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 0.01 0.00 -0.00 -0.00 -0.00 ]

Frequency matrix

A [ 112 85 94 82 85 71 98 93 99 92 90 83 87 118 96 68 93 87 64 89 109 141 97 97 39 99 23 429 1 1 2 24 210 67 69 106 82 117 98 80 88 82 82 95 81 93 84 93 89 99 ]
C [ 132 153 124 141 139 150 122 132 120 135 141 172 149 100 111 142 153 142 157 137 138 111 130 72 10 245 373 6 451 1 6 183 48 146 271 108 142 111 126 161 128 140 141 119 151 143 140 135 145 140 ]
G [ 120 135 142 144 128 150 129 135 146 133 125 109 132 140 154 128 117 123 159 132 109 118 148 175 372 24 39 18 0 450 6 218 142 148 52 133 112 105 137 156 157 135 140 140 117 130 139 142 154 123 ]
T [ 89 80 93 86 101 82 104 93 88 93 97 89 85 95 92 115 90 101 73 95 97 83 78 109 32 85 18 0 1 1 439 28 53 92 61 106 117 120 92 56 80 96 90 99 104 87 90 83 65 91 ]

Hypothetical CWM

A [ -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.01 -0.01 -0.01 -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 0.01 -0.01 -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 -0.01 0.01 -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 -0.01 -0.01 -0.00 0.01 -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: 449

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 285

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 273

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 85