Detailed information of deep learning profile BP001256.1

This page shows detailed deep learning-derived predictions and motifs for KLF12 in HepG2 using a single trained BPNet model.

Model details

Name: KLF12
Model ID: BP001256.1
Cell line/tissue: HepG2
Class: C2H2 zinc finger factors
Family: Three-zinc finger Kruppel-related
JASPAR ID: MA0742.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q9Y4X4  
Source: ENCSR552YWL
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 -0.00 -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 0.00 0.00 0.00 0.01 0.00 0.00 0.01 0.00 0.01 0.01 0.01 0.00 0.00 0.00 0.00 ]
G [ 0.00 0.00 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.00 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 ]

Frequency matrix

A [ 719 734 702 665 631 626 724 683 732 649 634 661 670 542 563 492 481 660 648 568 254 333 687 4 190 2 8 15 734 485 462 495 496 494 514 534 558 610 669 622 637 664 648 655 645 681 682 679 676 653 ]
C [ 1675 1613 1735 1686 1717 1750 1722 1711 1648 1735 1808 1837 1788 1926 1904 1944 2129 1977 931 350 3663 3415 3525 4450 9 4433 4453 4284 2350 1442 1847 1854 2005 1938 1774 1744 1779 1793 1752 1779 1766 1740 1700 1707 1719 1646 1696 1639 1602 1663 ]
G [ 1470 1469 1381 1398 1428 1406 1357 1396 1405 1468 1435 1333 1430 1441 1314 1428 1295 1448 2601 3371 289 297 262 40 4249 63 35 91 551 1665 1282 1452 1461 1400 1598 1515 1452 1403 1320 1427 1397 1364 1407 1376 1394 1444 1376 1463 1490 1450 ]
T [ 639 687 685 754 727 721 700 713 718 651 626 672 615 594 722 639 598 418 323 214 297 458 29 9 55 5 7 113 868 911 912 702 541 671 617 710 714 697 762 675 703 735 748 765 745 732 749 722 735 737 ]

Hypothetical CWM

A [ -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.01 -0.01 -0.00 -0.01 -0.01 -0.00 -0.01 -0.00 -0.01 -0.01 -0.01 -0.00 -0.00 -0.01 -0.01 -0.01 -0.01 -0.01 -0.01 -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 0.01 0.01 0.00 0.01 -0.01 0.01 0.01 0.01 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 0.01 0.01 -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 0.00 0.00 0.00 0.00 0.00 ]
T [ -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.00 -0.01 -0.00 -0.00 -0.00 -0.01 -0.01 -0.01 -0.00 -0.01 -0.01 -0.01 -0.01 -0.01 -0.01 -0.01 -0.00 -0.00 -0.00 -0.00 -0.01 -0.00 -0.01 -0.00 -0.00 -0.00 -0.00 -0.00 ]

Other motifs identified by TF-MoDISco

Motif name: counts.pos_patterns.pattern_1

Num. of seqlets: 753

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 722

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 532

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 462

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 433

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 369

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 288

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 136