Detailed information of deep learning profile BP001176.1

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

Frequency matrix

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

Hypothetical CWM

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