Detailed information of deep learning profile BP001339.1

This page shows detailed deep learning-derived predictions and motifs for ZNF596 in HEK293 using a single trained BPNet model.

Model details

Name: ZNF596
Model ID: BP001339.1
Cell line/tissue: HEK293
Class: C2H2 zinc finger factors
Family: More than 3 adjacent zinc fingers
JASPAR ID: UN0335.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q8TC21  
Source: ENCSR344SBD
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 0.01 0.00 0.01 0.00 0.01 -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 ]
G [ -0.00 0.00 -0.00 0.00 -0.00 0.02 -0.00 0.03 0.00 0.03 0.00 0.02 -0.00 0.01 -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 ]

Frequency matrix

A [ 170 161 159 174 158 183 145 167 148 165 143 151 188 146 179 164 230 237 287 127 429 16 446 6 421 0 433 13 280 99 235 155 215 166 216 155 177 132 149 144 144 164 165 151 151 141 165 132 155 134 ]
C [ 89 67 66 70 72 78 70 91 72 82 54 74 70 72 77 63 48 37 22 22 12 7 8 2 24 0 20 8 70 65 61 75 54 70 61 69 70 108 86 87 74 103 71 91 88 90 79 92 84 91 ]
G [ 109 143 132 133 134 122 142 128 151 118 163 151 121 147 128 143 107 97 31 170 9 433 2 449 11 462 4 437 81 236 99 136 103 124 95 145 112 137 129 140 137 116 142 143 154 145 141 161 135 140 ]
T [ 94 91 105 85 98 79 105 76 91 97 102 86 83 97 78 92 77 91 122 143 12 6 6 5 6 0 5 4 31 62 67 96 90 102 90 93 103 85 98 91 107 79 84 77 69 86 77 77 88 97 ]

Hypothetical CWM

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

Other motifs identified by TF-MoDISco

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 232