Detailed information of deep learning profile BP001236.1

This page shows detailed deep learning-derived predictions and motifs for HNF1B in HepG2 using a single trained BPNet model.

Model details

Name: HNF1B
Model ID: BP001236.1
Cell line/tissue: HepG2
Class: Homeo domain factors
Family: POU domain factors
JASPAR ID: MA0153.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: P35680  
Source: ENCSR127XTZ
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 -0.00 0.05 0.04 0.00 -0.00 0.02 -0.00 -0.00 0.02 0.03 -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 0.03 0.01 0.00 -0.00 0.00 ]
G [ 0.00 -0.00 0.00 0.01 0.04 -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 0.00 0.00 ]
T [ -0.00 0.00 0.00 -0.00 -0.00 0.04 0.03 -0.00 -0.00 0.04 -0.00 0.00 0.03 0.05 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 -0.00 ]

Frequency matrix

A [ 693 684 753 725 732 717 727 695 700 750 752 746 835 695 744 638 529 655 1034 156 58 271 2765 2696 192 644 1556 236 83 1956 2124 375 650 955 792 754 706 723 702 741 734 814 763 708 760 738 767 763 733 711 ]
C [ 657 736 701 678 734 711 636 717 717 648 634 663 648 705 698 833 875 518 89 32 200 166 5 89 47 581 49 57 205 200 326 1883 1087 560 581 614 676 688 693 705 698 620 698 710 695 707 671 637 632 649 ]
G [ 740 682 636 680 716 606 739 725 680 595 695 748 651 746 719 646 593 577 1189 2543 93 60 70 10 8 1216 165 364 15 343 236 132 213 589 835 750 713 695 718 646 677 646 704 724 688 738 733 766 728 821 ]
T [ 768 756 768 775 676 824 756 721 761 865 777 701 724 712 697 741 861 1108 546 127 2507 2361 18 63 2611 417 1088 2201 2555 359 172 468 908 754 650 740 763 752 745 766 749 778 693 716 715 675 687 692 765 677 ]

Hypothetical CWM

A [ -0.00 -0.01 -0.01 -0.00 0.01 0.00 -0.02 -0.00 0.06 0.05 0.01 0.01 0.05 0.01 -0.00 0.04 0.04 -0.00 -0.00 0.00 0.00 -0.00 -0.00 ]
C [ 0.01 0.01 0.01 0.01 0.00 -0.02 -0.00 0.01 -0.03 0.00 0.00 0.02 -0.02 -0.02 0.02 -0.01 0.01 0.04 0.02 0.01 0.00 0.01 0.01 ]
G [ 0.01 0.01 0.00 0.01 0.02 0.05 0.01 -0.02 0.02 -0.02 -0.02 0.02 -0.00 0.00 -0.03 0.00 -0.00 -0.01 0.01 0.01 0.01 0.01 0.01 ]
T [ -0.00 -0.00 0.00 0.00 -0.00 -0.00 0.04 0.04 -0.00 0.01 0.05 0.00 0.01 0.04 0.05 -0.00 -0.01 0.00 0.01 -0.00 -0.01 -0.01 -0.00 ]

Other motifs identified by TF-MoDISco

Motif name: counts.pos_patterns.pattern_0

Num. of seqlets: 3943

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 2799

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 2572

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 1040

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 682

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 625

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 612

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 575

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 563

Motif name: counts.pos_patterns.pattern_11

Num. of seqlets: 505

Motif name: counts.pos_patterns.pattern_12

Num. of seqlets: 483

Motif name: counts.pos_patterns.pattern_14

Num. of seqlets: 254

Motif name: counts.pos_patterns.pattern_15

Num. of seqlets: 156

Motif name: counts.pos_patterns.pattern_18

Num. of seqlets: 22