Detailed information of deep learning profile BP001176.1

  1. Home
  2. Deep Learning Profile > BP001176.1
This page shows detailed deep learning-derived predictions and motifs for ZNF441 in HepG2 using a single trained BPNet model.

Model details

Name: ZNF441
Model ID: BP001176.1
Cell line/tissue: HepG2
Class: C2H2 zinc finger factors
Family: More than 3 adjacent zinc fingers
JASPAR ID: UN0190.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q8N8Z8  
Source: ENCSR673GDQ
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 0.00 0.02 0.00 -0.00 0.00 -0.00 0.00 -0.00 -0.00 -0.00 -0.00 ]
C [ 0.01 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.00 -0.00 0.01 0.00 0.05 0.06 0.00 0.00 0.02 0.00 0.01 ]
G [ 0.00 0.00 0.01 0.01 0.02 0.00 0.03 0.00 0.00 0.00 0.01 0.00 0.01 0.00 -0.00 0.00 0.00 0.00 -0.00 0.00 0.00 0.00 0.05 0.00 0.00 0.00 0.00 ]
T [ 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 -0.00 -0.00 0.00 0.04 0.00 -0.00 -0.00 -0.00 0.00 -0.00 -0.00 ]

Frequency matrix

       
A [ 1915 483 449 432 619 1922 523 481 457 398 492 424 366 643 576 2244 612 2242 652 2174 606 346 703 2341 1286 3182 572 16 8 4 292 148 166 252 272 1987 2119 2167 2148 2142 2066 2049 2093 2126 2042 2020 2001 2005 1933 1878 ]
C [ 1026 2087 984 2376 2250 704 904 2328 2282 781 650 579 723 1723 413 684 2309 843 598 698 641 2236 1122 843 300 95 2860 19 4017 4020 5 1536 3120 1180 2842 990 779 774 805 823 897 877 874 849 890 814 929 867 852 843 ]
G [ 706 738 694 711 719 998 2220 812 674 832 2447 2631 2609 957 2744 761 616 569 2352 660 2240 618 1345 478 2280 672 138 16 5 6 3739 318 183 207 463 631 671 683 697 654 613 641 630 596 654 766 662 704 754 746 ]
T [ 394 733 1914 522 453 417 394 420 628 2030 452 407 343 718 308 352 504 387 439 509 554 841 871 379 175 92 471 3990 11 11 5 2039 572 2402 464 433 472 417 391 422 465 474 444 470 455 441 449 465 502 574 ]

Hypothetical CWM

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

Other motifs identified by TF-MoDISco

 

Motif name: counts.pos_patterns.pattern_1

Num. of seqlets: 2003

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 1454

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 754

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 487

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 472

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 234

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 169

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 163

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 100

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_11

Num. of seqlets: 96

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_17

Num. of seqlets: 28

CWM

PFM

     

HCWM