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 0.02 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 0.01 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 0.00 0.00 ]
T [ -0.00 0.00 0.00 0.00 0.02 0.03 0.00 -0.00 0.00 0.00 0.00 0.00 0.00 0.00 ]

Frequency matrix

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

Hypothetical CWM

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