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 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.00 ]
G [ 0.00 0.00 0.00 0.00 0.01 0.01 0.01 0.00 0.01 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 [ 737 735 722 749 732 745 765 748 735 703 675 762 697 714 710 617 671 541 702 912 911 868 113 7 5 55 9 29 458 297 214 323 418 598 639 722 594 615 672 626 651 718 713 700 721 727 754 685 687 639 ]
C [ 1450 1490 1463 1376 1444 1394 1376 1407 1364 1397 1427 1320 1403 1452 1515 1598 1400 1461 1452 1282 1665 551 91 35 63 4249 40 262 297 289 3371 2601 1448 1295 1428 1314 1441 1430 1333 1435 1468 1405 1396 1357 1406 1428 1398 1381 1469 1470 ]
G [ 1663 1602 1639 1696 1646 1719 1707 1700 1740 1766 1779 1752 1793 1779 1744 1774 1938 2005 1854 1847 1442 2350 4284 4453 4433 9 4450 3525 3415 3663 350 931 1977 2129 1944 1904 1926 1788 1837 1808 1735 1648 1711 1722 1750 1717 1686 1735 1613 1675 ]
T [ 653 676 679 682 681 645 655 648 664 637 622 669 610 558 534 514 494 496 495 462 485 734 15 8 2 190 4 687 333 254 568 648 660 481 492 563 542 670 661 634 649 732 683 724 626 631 665 702 734 719 ]

Hypothetical CWM

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

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