Detailed information of deep learning profile BP001320.1

This page shows detailed deep learning-derived predictions and motifs for GATA4 in HepG2 using a single trained BPNet model.

Model details

Name: GATA4
Model ID: BP001320.1
Cell line/tissue: HepG2
Class: Other C4 zinc finger-type factors
Family: C4-GATA-related
JASPAR ID: MA0482.3
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: P43694  
Source: ENCSR590CNM
Model: BPNet
Download trained model
Download TF-MoDISco Report

Contribution weight matrix (CWM)

A [ 0.00 0.00 -0.00 0.01 0.00 0.03 -0.00 0.03 0.03 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 ]
G [ 0.00 0.00 0.00 -0.00 0.03 0.00 0.00 0.00 0.00 0.01 0.00 0.00 0.00 ]
T [ -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 ]

Frequency matrix

A [ 603 640 583 598 589 622 600 633 585 621 604 677 642 563 559 865 421 1498 2 2137 2 2130 2121 308 983 635 635 631 571 547 626 632 647 661 683 662 583 618 610 653 585 596 593 586 589 621 576 582 587 604 ]
C [ 471 476 494 454 491 442 496 464 487 451 456 509 474 476 556 285 793 38 4 5 3 9 9 400 466 392 463 505 487 467 468 482 504 455 487 451 474 481 545 455 464 501 445 479 524 456 484 508 483 479 ]
G [ 503 521 458 482 457 488 476 502 494 562 578 449 446 554 459 483 627 2 2142 5 7 5 16 1402 617 617 495 576 529 509 498 480 490 489 435 497 550 481 482 490 541 511 550 525 486 489 532 477 493 505 ]
T [ 574 514 616 617 614 599 579 552 585 517 513 516 589 558 577 518 310 613 3 4 2139 7 5 41 85 507 558 439 564 628 559 557 510 546 546 541 544 571 514 553 561 543 563 561 552 585 559 584 588 563 ]

Hypothetical CWM

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

Other motifs identified by TF-MoDISco

Motif name: counts.pos_patterns.pattern_0

Num. of seqlets: 3647

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 1240

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 621

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 421

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 239

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 192