Detailed information of deep learning profile BP001219.1

This page shows detailed deep learning-derived predictions and motifs for LIN54 in HepG2 using a single trained BPNet model.

Model details

Name: LIN54
Model ID: BP001219.1
Cell line/tissue: HepG2
Class: CRC domain
Family: tesmin/TSO1-family
JASPAR ID: MA0619.2
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: F1NCE0  
Source: ENCSR597MCV
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 0.03 0.02 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 ]
G [ 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 ]
T [ -0.00 -0.00 0.00 0.00 0.02 0.03 0.02 0.00 0.00 0.00 0.00 0.00 0.00 0.00 ]

Frequency matrix

A [ 375 384 347 335 349 350 391 319 394 408 355 357 389 372 347 370 321 269 297 403 327 397 281 235 330 349 545 432 26 0 1 444 1738 1715 607 446 309 332 401 377 423 317 343 305 311 341 363 363 320 328 ]
C [ 512 487 537 579 514 533 498 519 522 486 510 532 491 476 512 551 518 575 607 545 607 490 484 481 412 581 402 233 7 0 74 24 3 36 582 447 489 514 475 558 542 575 528 551 555 589 489 513 525 478 ]
G [ 529 516 541 482 521 553 549 575 500 538 552 513 557 556 538 518 602 591 563 476 511 460 568 477 670 540 379 734 13 1 5 1297 22 12 121 315 473 503 665 522 472 585 532 586 558 545 581 607 532 578 ]
T [ 359 388 350 379 391 339 337 362 359 343 358 373 338 371 378 336 334 340 308 351 330 428 442 582 363 305 449 376 1729 1774 1695 10 12 12 465 567 504 426 234 318 338 298 372 333 351 300 342 292 398 391 ]

Hypothetical CWM

A [ -0.00 0.00 0.00 0.00 0.00 -0.01 -0.02 0.01 0.03 0.02 0.00 0.00 -0.00 -0.00 ]
C [ 0.00 0.00 0.00 -0.01 -0.02 -0.01 0.01 -0.01 -0.02 -0.00 0.01 0.00 0.00 0.01 ]
G [ 0.01 0.00 -0.00 0.01 -0.00 -0.02 -0.02 0.01 -0.00 -0.01 -0.01 0.00 0.00 0.00 ]
T [ -0.00 -0.00 0.00 0.00 0.02 0.03 0.02 -0.02 -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: 10453

Motif name: counts.pos_patterns.pattern_1

Num. of seqlets: 5738

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 839

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 720

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 542

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 502

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 174

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 141

Motif name: counts.pos_patterns.pattern_12

Num. of seqlets: 138

Motif name: counts.pos_patterns.pattern_16

Num. of seqlets: 24

Motif name: counts.pos_patterns.pattern_17

Num. of seqlets: 23