Detailed information of deep learning profile BP001349.1

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

Model details

Name: PPARG
Model ID: BP001349.1
Cell line/tissue: HepG2
Class: Nuclear receptors with C4 zinc fingers
Family: Thyroid hormone receptor-related factors (NR1)
JASPAR ID: MA0065.3
Taxon: Vertebrates
Species: Homo sapiens
Data Type: ChIP-seq
Uniprot ID: P19793  
Source: ENCSR130VQL
Model: BPNet
Download trained model
Download TF-MoDISco Report

Sequence logo

 

Contribution weight matrix (CWM)

 
A [ 0.01 -0.00 -0.00 0.01 -0.00 -0.00 -0.00 -0.00 0.05 0.03 0.05 0.00 -0.00 -0.00 -0.00 0.03 0.00 -0.00 -0.00 -0.00 ]
C [ 0.00 0.00 0.00 -0.00 -0.00 -0.00 0.00 0.03 -0.00 -0.00 -0.00 -0.00 -0.00 0.00 0.03 -0.00 0.00 0.00 0.00 0.00 ]
G [ -0.00 0.00 0.00 0.01 0.04 0.03 0.00 -0.00 -0.00 -0.00 0.00 0.06 0.03 -0.00 -0.00 0.00 0.00 0.00 0.00 0.00 ]
T [ 0.00 -0.00 0.01 -0.00 -0.00 0.00 0.01 0.00 -0.00 -0.00 -0.00 -0.00 0.01 0.03 0.00 -0.00 -0.00 0.00 0.00 0.00 ]

Frequency matrix

       
A [ 2574 2621 2490 2557 2488 2491 2411 2691 2584 2693 2556 2549 2781 2506 2681 2660 2437 2673 3797 3783 2030 1872 4439 726 1712 1410 454 8915 7386 8499 231 421 230 483 7310 2473 2609 2075 2202 2158 2501 2378 2458 2696 2541 2558 2538 2441 2569 2424 ]
C [ 2124 2188 2168 2057 2141 2103 2121 2051 2097 2130 2138 2170 1942 1985 1981 1817 1976 1983 1971 1322 2818 1691 257 126 378 1896 6901 162 130 11 6 38 1616 6860 581 2466 1966 1954 1988 2317 2184 2270 2098 2017 2160 2068 2145 2093 1963 2117 ]
G [ 2351 2170 2179 2325 2330 2405 2427 2312 2304 2170 2262 2193 2273 2414 2363 2710 2820 2284 1489 1248 2512 2165 3615 7699 5492 2554 968 210 1503 804 9014 5731 1369 731 797 2532 2501 2840 2420 2489 2339 2210 2248 2196 2209 2411 2363 2428 2406 2396 ]
T [ 2295 2365 2507 2405 2385 2345 2385 2290 2359 2351 2388 2432 2348 2439 2319 2157 2111 2404 2087 2991 1984 3616 1033 793 1762 3484 1021 57 325 30 93 3154 6129 1270 656 1873 2268 2475 2734 2380 2320 2486 2540 2435 2434 2307 2298 2382 2406 2407 ]

Hypothetical CWM

   
A [ -0.00 0.01 0.01 -0.01 -0.01 0.02 -0.00 0.00 -0.01 -0.01 0.05 0.05 0.05 0.00 -0.01 -0.03 -0.01 0.03 0.00 -0.00 -0.01 -0.00 ]
C [ 0.00 0.00 -0.01 0.01 0.01 -0.00 -0.02 -0.01 0.02 0.04 -0.01 -0.03 -0.02 -0.03 -0.04 0.01 0.04 -0.01 0.01 0.01 0.01 0.01 ]
G [ 0.00 -0.00 -0.00 0.01 0.00 0.02 0.04 0.04 0.01 0.00 0.00 0.01 0.02 0.07 0.05 0.01 -0.01 0.01 0.00 0.01 0.01 0.01 ]
T [ 0.00 -0.00 0.01 0.00 0.02 -0.02 -0.00 -0.00 0.02 0.01 -0.02 -0.00 -0.04 -0.02 0.03 0.04 0.01 -0.02 -0.00 0.00 -0.00 0.00 ]

Other motifs identified by TF-MoDISco

 

Motif name: counts.pos_patterns.pattern_1

Num. of seqlets: 3917

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_2

Num. of seqlets: 1070

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_3

Num. of seqlets: 965

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_4

Num. of seqlets: 938

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_5

Num. of seqlets: 344

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_6

Num. of seqlets: 209

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_7

Num. of seqlets: 187

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_8

Num. of seqlets: 166

CWM

PFM

     

HCWM

Motif name: counts.pos_patterns.pattern_9

Num. of seqlets: 114

CWM

PFM

     

HCWM