Detailed information of deep learning profile BP001190.1

  1. Home
  2. Deep Learning Profile > BP001190.1
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 0.03 -0.00 0.00 -0.00 0.00 0.01 -0.00 -0.00 0.00 ]
C [ 0.00 -0.00 -0.00 -0.00 0.03 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 0.04 0.00 -0.00 -0.00 0.00 ]
T [ 0.00 -0.00 -0.00 0.00 0.00 -0.00 0.00 -0.00 0.04 -0.00 -0.00 0.00 -0.00 -0.00 ]

Frequency matrix

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

Hypothetical CWM

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