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 -0.00 -0.00 0.00 0.04 0.00 0.00 0.00 0.00 0.00 -0.00 ]
C [ 0.00 0.00 0.00 0.01 0.00 0.00 0.00 0.00 0.03 -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 0.00 ]
T [ 0.00 -0.00 0.00 0.00 0.03 0.03 -0.00 0.03 0.00 0.01 -0.00 0.00 0.00 ]

Frequency matrix

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

Hypothetical CWM

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