Detailed information of deep learning profile BP001190.1

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

Model details

Name: MLX
Model ID: BP001190.1
Cell line/tissue: HepG2
Class: Basic helix-loop-helix factors (bHLH)
Family: bHLH-ZIP
JASPAR ID: MA0663.1
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: Q9UH92  
Source: ENCSR125DAD
Model: BPNet
Download trained model
Download TF-MoDISco Report

Sequence logo

 

Contribution weight matrix (CWM)

 
A [ -0.00 -0.00 0.00 -0.00 -0.00 0.04 -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 0.04 0.00 0.06 0.00 0.00 0.00 0.00 0.00 0.01 0.00 ]
G [ 0.00 0.01 0.00 0.00 0.00 0.00 0.00 0.06 0.00 0.03 -0.00 -0.00 -0.00 0.00 ]
T [ 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 -0.00 ]

Frequency matrix

       
A [ 383 420 399 379 400 431 362 392 333 438 387 385 344 359 333 365 466 168 7 1755 2 43 20 29 506 319 407 441 299 288 387 289 364 264 208 396 312 365 403 406 348 356 378 416 401 352 395 377 366 399 ]
C [ 510 516 506 515 507 483 535 505 536 507 548 515 540 533 463 204 199 474 1772 14 1763 0 58 21 420 705 728 420 529 618 392 675 532 373 318 505 569 582 489 484 505 522 527 524 501 527 488 515 494 494 ]
G [ 537 511 498 520 541 570 534 493 530 499 495 516 525 566 502 978 765 335 7 29 0 1755 15 1730 646 329 309 674 693 570 654 539 667 423 1025 597 475 469 526 535 546 503 518 503 525 569 548 519 559 529 ]
T [ 370 353 397 386 352 316 369 410 401 356 370 384 391 342 502 253 370 823 14 2 35 2 1707 20 228 447 356 265 279 324 367 297 237 740 249 302 444 384 382 375 401 419 377 357 373 352 369 389 381 378 ]

Hypothetical CWM

   
A [ -0.00 -0.00 0.01 -0.01 -0.01 0.04 -0.03 0.01 -0.01 0.00 0.01 0.00 -0.00 0.00 ]
C [ 0.01 -0.00 -0.00 0.00 0.04 -0.03 0.06 -0.03 0.03 -0.01 0.01 0.01 0.02 0.01 ]
G [ 0.00 0.02 0.01 0.01 -0.01 0.02 -0.03 0.06 -0.03 0.03 0.00 0.00 0.00 0.01 ]
T [ 0.00 -0.00 -0.00 0.01 -0.00 -0.02 0.01 -0.03 0.03 -0.01 -0.00 0.01 -0.00 -0.00 ]

Other motifs identified by TF-MoDISco

 

Motif name: counts.pos_patterns.pattern_0

Num. of seqlets: 3583

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 1661

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 1376

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 752

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 644

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 331

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 328

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 227

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 206

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_10

Num. of seqlets: 81

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_11

Num. of seqlets: 69

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_12

Num. of seqlets: 29

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_14

Num. of seqlets: 23

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_15

Num. of seqlets: 22

CWM

PFM

     

HCWM