Detailed information of deep learning profile BP001293.1

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

Model details

Name: NFIA
Model ID: BP001293.1
Cell line/tissue: HepG2
Class: SMAD/NF-1 DNA-binding domain factors
Family: Nuclear factor 1
JASPAR ID: MA0670.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q12857  
Source: ENCSR226QQM
Model: BPNet
Download trained model
Download TF-MoDISco Report

Sequence logo

 

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 0.00 0.06 0.02 0.00 0.00 0.00 ]
C [ 0.00 0.00 0.00 0.01 -0.00 -0.00 0.00 0.03 0.00 0.01 0.00 0.00 -0.00 -0.00 0.10 0.12 0.00 -0.00 0.00 -0.00 0.00 ]
G [ 0.00 -0.00 0.00 -0.00 0.00 0.12 0.09 -0.00 -0.00 0.00 0.00 0.00 0.00 0.07 0.00 0.00 -0.00 0.01 0.00 0.00 0.00 ]
T [ 0.00 0.00 0.00 0.02 0.04 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 -0.00 ]

Frequency matrix

       
A [ 3106 2947 2845 2962 3198 3056 2966 3015 3151 3002 2939 2974 3332 3009 3080 1580 907 679 6 516 4910 4133 2375 2854 2361 3740 25 10 3 11494 6342 2919 3569 2956 2723 2969 3038 2845 3032 2862 2989 2956 2886 3176 2994 3106 3061 3046 2989 2989 ]
C [ 3058 2989 3123 3224 3050 2959 2967 3182 3182 3254 3219 3167 2768 2964 2982 5008 5002 185 4 9 6003 3598 4297 3224 3716 675 34 12149 12192 584 297 2648 2544 3160 3660 3192 3169 3116 3115 3209 3222 3174 3139 3113 3299 3098 3003 3078 3140 3180 ]
G [ 3099 3245 3263 3028 3034 3255 3060 3151 2986 3209 3215 3037 3529 3251 2878 2666 779 2215 12182 11513 891 1309 2550 2848 3855 1984 11422 0 0 18 5074 5289 2802 3030 2695 2997 3129 3343 3121 3190 2965 2861 3148 3221 3121 3098 3114 3094 3065 3096 ]
T [ 2932 3014 2964 2981 2913 2925 3202 2847 2876 2730 2822 3017 2566 2971 3255 2941 5507 9116 3 157 391 3155 2973 3269 2263 5796 714 36 0 99 482 1339 3280 3049 3117 3037 2859 2891 2927 2934 3019 3204 3022 2685 2781 2893 3017 2977 3001 2930 ]

Hypothetical CWM

   
A [ -0.00 -0.00 0.00 -0.01 -0.02 -0.04 -0.04 -0.01 0.02 0.01 0.00 0.00 0.00 0.01 -0.04 -0.02 -0.05 0.06 0.04 0.01 0.01 0.00 0.00 ]
C [ 0.01 0.01 0.01 0.01 0.02 -0.02 -0.03 -0.06 0.06 0.02 0.02 0.02 0.01 0.00 -0.03 0.10 0.12 0.01 -0.03 0.01 -0.00 0.01 0.01 ]
G [ 0.00 0.00 0.00 0.01 -0.02 0.01 0.12 0.09 -0.02 -0.00 0.01 0.02 0.02 0.02 0.07 -0.06 -0.03 -0.02 0.02 0.01 0.01 0.01 0.00 ]
T [ 0.00 0.00 0.00 0.01 0.04 0.06 -0.05 -0.02 -0.03 0.01 0.00 0.01 0.01 0.02 0.02 -0.02 -0.05 -0.04 -0.03 -0.01 0.00 -0.00 -0.00 ]

Other motifs identified by TF-MoDISco

 

Motif name: counts.pos_patterns.pattern_1

Num. of seqlets: 4953

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 2829

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 2107

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 1821

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 764

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 704

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 691

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 183

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 107

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_13

Num. of seqlets: 31

CWM

PFM

     

HCWM