Detailed information of deep learning profile BP001265.1

This page shows detailed deep learning-derived predictions and motifs for DLX6 in HepG2 using a single trained BPNet model.

Model details

Name: DLX6
Model ID: BP001265.1
Cell line/tissue: HepG2
Class: Homeo domain factors
Family: NK
JASPAR ID: MA0882.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: P56179  
Source: ENCSR272TOJ
Model: BPNet
Download trained model
Download TF-MoDISco Report

Contribution weight matrix (CWM)

A [ -0.00 -0.00 0.00 -0.00 0.00 0.02 0.03 0.00 0.00 0.01 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 0.01 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 ]
T [ 0.00 -0.00 -0.00 0.00 0.02 0.00 0.00 0.03 0.03 0.00 -0.00 0.00 0.00 -0.00 ]

Frequency matrix

A [ 192 188 208 194 181 188 200 155 192 171 178 173 186 218 179 195 187 194 153 193 179 153 164 160 237 8 734 747 0 1 443 94 146 90 140 154 160 170 164 187 171 191 199 186 193 173 200 187 193 180 ]
C [ 154 184 205 199 205 187 177 197 188 190 208 189 189 184 213 240 207 213 229 158 166 217 276 118 172 12 4 0 0 0 0 440 354 292 188 178 215 179 183 182 175 207 186 207 196 181 183 222 188 184 ]
G [ 212 198 161 175 177 194 173 199 192 194 157 184 204 178 194 131 198 146 168 204 267 207 171 279 231 0 7 0 0 6 300 94 63 154 156 241 211 199 217 173 201 173 198 170 190 221 187 171 191 187 ]
T [ 190 178 174 180 185 179 198 197 176 193 205 202 169 168 162 182 156 195 198 193 136 171 137 191 108 728 3 1 748 741 5 120 185 212 264 175 162 200 184 206 201 177 165 185 169 173 178 168 176 197 ]

Hypothetical CWM

A [ -0.00 -0.00 0.00 -0.00 -0.01 0.02 0.03 -0.01 -0.02 0.02 -0.00 -0.00 -0.01 -0.00 ]
C [ 0.01 0.01 0.00 0.00 0.01 -0.01 -0.02 -0.01 -0.00 -0.02 0.01 0.01 0.01 0.00 ]
G [ 0.00 0.01 0.01 0.01 -0.02 0.00 -0.01 -0.01 -0.00 0.01 0.00 0.00 0.01 0.00 ]
T [ -0.00 -0.01 -0.00 -0.00 0.02 -0.03 -0.00 0.03 0.03 -0.01 -0.00 0.00 -0.00 -0.00 ]

Other motifs identified by TF-MoDISco

Motif name: counts.pos_patterns.pattern_0

Num. of seqlets: 4114

Motif name: counts.pos_patterns.pattern_1

Num. of seqlets: 3795

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 1250

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 1158

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 705

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 281

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 254

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 249

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 194

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 106

Motif name: counts.pos_patterns.pattern_13

Num. of seqlets: 50

Motif name: counts.pos_patterns.pattern_14

Num. of seqlets: 48

Motif name: counts.pos_patterns.pattern_15

Num. of seqlets: 43