Detailed information of 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

Contribution weight matrix (CWM)

A [ -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 0.01 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 0.00 -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 0.00 0.00 0.00 0.00 0.02 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 ]

Frequency matrix

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

Hypothetical CWM

A [ 0.00 0.00 0.00 -0.00 -0.00 -0.02 0.02 0.01 0.02 0.01 0.02 -0.00 0.03 0.00 0.00 0.00 0.00 -0.00 ]
C [ 0.00 0.00 -0.00 -0.00 0.02 0.02 -0.00 -0.01 -0.02 -0.01 -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 -0.00 -0.02 -0.01 -0.01 0.01 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 0.02 -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: 11331

Motif name: counts.pos_patterns.pattern_1

Num. of seqlets: 3806

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 3344

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 2435

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 1832

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 1531

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 1523

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 854

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 363

Motif name: counts.neg_patterns.pattern_0

Num. of seqlets: 190

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 105

Motif name: counts.pos_patterns.pattern_11

Num. of seqlets: 69

Motif name: counts.pos_patterns.pattern_13

Num. of seqlets: 40