Detailed information of deep learning profile BP001236.1

  1. Home
  2. 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

Sequence logo

 

Contribution weight matrix (CWM)

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

Frequency matrix

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

Hypothetical CWM

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

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 2799

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 2572

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 1040

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 682

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 625

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 612

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 575

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 563

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_11

Num. of seqlets: 505

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_12

Num. of seqlets: 483

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_14

Num. of seqlets: 254

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_15

Num. of seqlets: 156

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_18

Num. of seqlets: 22

CWM

PFM

     

HCWM