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 0.03 0.03 0.00 0.00 0.02 0.00 -0.00 -0.00 0.00 ]
C [ 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 0.01 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 0.01 0.00 0.00 0.03 0.02 0.00 -0.00 0.00 -0.00 -0.00 ]

Frequency matrix

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

Hypothetical CWM

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