Detailed information of deep learning profile BP001231.1

  1. Home
  2. Deep Learning Profile > BP001231.1
This page shows detailed deep learning-derived predictions and motifs for MEF2B in GM12878 using a single trained BPNet model.

Model details

Name: MEF2B
Model ID: BP001231.1
Cell line/tissue: GM12878
Class: MADS box factors
Family: Regulators of differentiation
JASPAR ID: MA0660.1
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q02080  
Source: ENCSR177VFS
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 0.02 0.00 0.00 0.00 0.00 -0.00 0.02 -0.00 0.00 0.00 -0.00 -0.00 ]
C [ 0.00 -0.00 -0.00 -0.00 0.02 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 0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.02 -0.00 -0.00 -0.00 0.00 ]
T [ -0.00 0.00 0.00 0.00 0.00 0.02 -0.00 0.01 0.01 0.01 0.01 0.01 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 ]

Frequency matrix

       
A [ 1026 955 1004 1006 989 1024 989 1034 1017 1035 1005 975 919 1016 955 1106 991 958 931 618 136 1 3277 484 446 285 1012 437 3469 459 1174 1297 965 847 938 914 932 1074 1054 1038 1017 1068 997 1029 1037 969 995 1005 1085 1127 ]
C [ 692 796 781 704 744 704 740 728 736 692 693 782 771 780 899 688 548 490 236 299 2775 144 12 31 55 140 100 172 5 123 1301 871 915 1014 705 645 681 641 659 638 701 681 731 753 682 778 747 698 635 682 ]
G [ 658 747 688 733 730 749 723 688 694 678 750 636 649 702 669 612 1090 895 832 1302 114 0 22 14 68 9 30 134 18 2595 390 289 581 563 717 828 798 724 723 747 693 659 662 636 706 708 699 733 711 649 ]
T [ 1122 1000 1025 1055 1035 1021 1046 1048 1051 1093 1050 1105 1159 1000 975 1092 869 1155 1499 1279 473 3353 187 2969 2929 3064 2356 2755 6 321 633 1041 1037 1074 1138 1111 1087 1059 1062 1075 1087 1090 1108 1080 1073 1043 1057 1062 1067 1040 ]

Hypothetical CWM

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

Other motifs identified by TF-MoDISco

 

Motif name: counts.pos_patterns.pattern_0

Num. of seqlets: 11331

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_1

Num. of seqlets: 3806

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 3344

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 2435

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 1832

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 1531

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 1523

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 854

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 363

CWM

PFM

     

HCWM

Motif name: counts.neg_patterns.pattern_0

Num. of seqlets: 190

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 105

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_11

Num. of seqlets: 69

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_13

Num. of seqlets: 40

CWM

PFM

     

HCWM