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 0.01 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 0.01 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 0.01 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 0.00 0.00 -0.00 -0.00 0.00 0.00 0.00 ]

Frequency matrix

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

Hypothetical CWM

A [ -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.01 -0.00 -0.01 -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 -0.00 0.01 -0.01 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 -0.01 0.01 -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 -0.01 -0.01 0.01 -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