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jcrozum / pystablemotifs

Python library for attractor identification and control in Boolean networks
MIT License
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Attractors result is incomplete #89

Closed priyambial123 closed 2 years ago

priyambial123 commented 2 years ago

Hello

I have the results as 56 attractors but only 26 attractors are printed. Is there a way to get the list of all attractors in a text file. Please find the error below

This is the network:

DIDO1*= X2 and X3
X2*= not (miR101 or miR6504 or miR582 or miR144 or miR93 or miR98 or X1 or miR92a or miR181b or miR3941 or miR4672 or miR582 or miR198)
X3*= MYCN or MYC or KDM5A or SOX2 or TFAP2C or KDM2B
CAND2*= not (let7a)
MYCN*= not (miR101 or miR6504 or miR582 or miR144 or miR93)
MYC*= not (miR98 or X1 or miR92a or let7a)
KDM5A*= not (miR181b)
SOX2*= SOX2
TFAP2C*= TFAP2C
KDM2B*= KDM2B
miR92a*= not (MYCN or MYC)
X1*= not (MYCN or MYC or KDM2B)
miR3941*= not (MYCN or MYC or TFAP2C or KDM2B)
miR4672*= not (MYCN or MYC)
miR101*= not (MYC or KDM2B)
miR144*= not (MYC)
miR582*= not (MYC or SOX2 or TFAP2C)
miR98*= not (KDM2B)
miR198*= not (KDM2B)
miR93*= not (MYCN)
let7a*= not (MYC)
miR6504*= miR6504
miR181b*= miR181b

Script:

import pystablemotifs as sm
import pyboolnet
import pystablemotifs.export as ex
import networkx as nx
import matplotlib.pyplot as plt

relative_path_to_model = r'''D:\Users\Labor\attractors\infant_clusters\simulation2\cluster2_1.txt'''
primes = sm.format.import_primes(relative_path_to_model)

print("RULES")
sm.format.pretty_print_prime_rules(primes)
print()

ar = sm.AttractorRepertoire.from_primes(primes)
ar.summary()

GR=sm.export.networkx_succession_diagram(ar,include_attractors_in_diagram=True)
sm.export.plot_nx_succession_diagram(GR,nx_node_label_kwargs={'font_size':10})
motifs = ar.succession_diagram.get_motifs()

Error: Fail to create pixmap with Tk_GetPixmap in TkImgPhotoInstanceSetSize

Results (python script.py > Results.txt)

There are 56 attractors.
{'CAND2': 0, 'DIDO1': 0, 'KDM2B': 0, 'KDM5A': 1, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 1, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 1, 'miR144': 1, 'miR181b': 0, 'miR198': 1, 'miR3941': 1, 'miR4672': 1, 'miR582': 1, 'miR6504': 0, 'miR92a': 1, 'miR93': 1, 'miR98': 1}

{'CAND2': 0, 'DIDO1': 0, 'KDM2B': 0, 'KDM5A': 1, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 1, 'X1': 1, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 1, 'miR144': 1, 'miR181b': 0, 'miR198': 1, 'miR3941': 0, 'miR4672': 1, 'miR582': 0, 'miR6504': 0, 'miR92a': 1, 'miR93': 1, 'miR98': 1}

{'CAND2': 0, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 1, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 0, 'miR144': 1, 'miR181b': 0, 'miR198': 0, 'miR3941': 0, 'miR4672': 1, 'miR582': 1, 'miR6504': 0, 'miR92a': 1, 'miR93': 1, 'miR98': 0}

{'CAND2': 1, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 1, 'MYC': 1, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 0, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 0, 'miR92a': 0, 'miR93': 1, 'miR98': 0}

{'CAND2': 1, 'DIDO1': 1, 'KDM2B': 1, 'KDM5A': 1, 'MYC': 1, 'MYCN': 1, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 1, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 0, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 0, 'miR92a': 0, 'miR93': 0, 'miR98': 0}

{'CAND2': 0, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 1, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 1, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 0, 'miR144': 1, 'miR181b': 0, 'miR198': 0, 'miR3941': 0, 'miR4672': 1, 'miR582': 0, 'miR6504': 0, 'miR92a': 1, 'miR93': 1, 'miR98': 0}

{'CAND2': 1, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 1, 'MYC': 1, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 1, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 0, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 0, 'miR92a': 0, 'miR93': 1, 'miR98': 0}

{'CAND2': 1, 'DIDO1': 1, 'KDM2B': 1, 'KDM5A': 1, 'MYC': 1, 'MYCN': 1, 'SOX2': 0, 'TFAP2C': 1, 'X1': 0, 'X2': 1, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 0, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 0, 'miR92a': 0, 'miR93': 0, 'miR98': 0}

{'CAND2': 0, 'DIDO1': 0, 'KDM2B': 0, 'KDM5A': 0, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 1, 'X2': 0, 'X3': 0, 'let7a': 1, 'miR101': 1, 'miR144': 1, 'miR181b': 1, 'miR198': 1, 'miR3941': 1, 'miR4672': 1, 'miR582': 1, 'miR6504': 0, 'miR92a': 1, 'miR93': 1, 'miR98': 1}

{'CAND2': 0, 'DIDO1': 0, 'KDM2B': 0, 'KDM5A': 0, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 1, 'X1': 1, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 1, 'miR144': 1, 'miR181b': 1, 'miR198': 1, 'miR3941': 0, 'miR4672': 1, 'miR582': 0, 'miR6504': 0, 'miR92a': 1, 'miR93': 1, 'miR98': 1}

{'CAND2': 0, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 0, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 0, 'miR144': 1, 'miR181b': 1, 'miR198': 0, 'miR3941': 0, 'miR4672': 1, 'miR582': 1, 'miR6504': 0, 'miR92a': 1, 'miR93': 1, 'miR98': 0}

{'CAND2': 1, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 0, 'MYC': 1, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 1, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 0, 'miR92a': 0, 'miR93': 1, 'miR98': 0}

{'CAND2': 1, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 0, 'MYC': 1, 'MYCN': 1, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 1, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 0, 'miR92a': 0, 'miR93': 0, 'miR98': 0}

{'CAND2': 0, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 0, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 1, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 0, 'miR144': 1, 'miR181b': 1, 'miR198': 0, 'miR3941': 0, 'miR4672': 1, 'miR582': 0, 'miR6504': 0, 'miR92a': 1, 'miR93': 1, 'miR98': 0}

{'CAND2': 1, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 0, 'MYC': 1, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 1, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 1, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 0, 'miR92a': 0, 'miR93': 1, 'miR98': 0}

{'CAND2': 1, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 0, 'MYC': 1, 'MYCN': 1, 'SOX2': 0, 'TFAP2C': 1, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 1, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 0, 'miR92a': 0, 'miR93': 0, 'miR98': 0}

{'CAND2': 0, 'DIDO1': 0, 'KDM2B': 0, 'KDM5A': 1, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 1, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 1, 'miR144': 1, 'miR181b': 0, 'miR198': 1, 'miR3941': 1, 'miR4672': 1, 'miR582': 1, 'miR6504': 1, 'miR92a': 1, 'miR93': 1, 'miR98': 1}

{'CAND2': 0, 'DIDO1': 0, 'KDM2B': 0, 'KDM5A': 1, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 1, 'X1': 1, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 1, 'miR144': 1, 'miR181b': 0, 'miR198': 1, 'miR3941': 0, 'miR4672': 1, 'miR582': 0, 'miR6504': 1, 'miR92a': 1, 'miR93': 1, 'miR98': 1}

{'CAND2': 0, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 1, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 0, 'miR144': 1, 'miR181b': 0, 'miR198': 0, 'miR3941': 0, 'miR4672': 1, 'miR582': 1, 'miR6504': 1, 'miR92a': 1, 'miR93': 1, 'miR98': 0}

{'CAND2': 1, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 1, 'MYC': 1, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 0, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 1, 'miR92a': 0, 'miR93': 1, 'miR98': 0}

{'CAND2': 0, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 1, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 1, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 0, 'miR144': 1, 'miR181b': 0, 'miR198': 0, 'miR3941': 0, 'miR4672': 1, 'miR582': 0, 'miR6504': 1, 'miR92a': 1, 'miR93': 1, 'miR98': 0}

{'CAND2': 1, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 1, 'MYC': 1, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 1, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 0, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 1, 'miR92a': 0, 'miR93': 1, 'miR98': 0}

{'CAND2': 0, 'DIDO1': 0, 'KDM2B': 0, 'KDM5A': 0, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 1, 'X2': 0, 'X3': 0, 'let7a': 1, 'miR101': 1, 'miR144': 1, 'miR181b': 1, 'miR198': 1, 'miR3941': 1, 'miR4672': 1, 'miR582': 1, 'miR6504': 1, 'miR92a': 1, 'miR93': 1, 'miR98': 1}

{'CAND2': 0, 'DIDO1': 0, 'KDM2B': 0, 'KDM5A': 0, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 1, 'X1': 1, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 1, 'miR144': 1, 'miR181b': 1, 'miR198': 1, 'miR3941': 0, 'miR4672': 1, 'miR582': 0, 'miR6504': 1, 'miR92a': 1, 'miR93': 1, 'miR98': 1}

{'CAND2': 0, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 0, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 0, 'miR144': 1, 'miR181b': 1, 'miR198': 0, 'miR3941': 0, 'miR4672': 1, 'miR582': 1, 'miR6504': 1, 'miR92a': 1, 'miR93': 1, 'miR98': 0}

{'CAND2': 1, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 0, 'MYC': 1, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 1, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 1, 'miR92a': 0, 'miR93': 1, 'miR98': 0}

Thanks

jcrozum commented 2 years ago

I think the issue is that you are trying to plot while directing the program output to a text file.

When I run this code:

import pystablemotifs as sm

rules="""DIDO1*= X2 and X3
X2*= not (miR101 or miR6504 or miR582 or miR144 or miR93 or miR98 or X1 or miR92a or miR181b or miR3941 or miR4672 or miR582 or miR198)
X3*= MYCN or MYC or KDM5A or SOX2 or TFAP2C or KDM2B
CAND2*= not (let7a)
MYCN*= not (miR101 or miR6504 or miR582 or miR144 or miR93)
MYC*= not (miR98 or X1 or miR92a or let7a)
KDM5A*= not (miR181b)
SOX2*= SOX2
TFAP2C*= TFAP2C
KDM2B*= KDM2B
miR92a*= not (MYCN or MYC)
X1*= not (MYCN or MYC or KDM2B)
miR3941*= not (MYCN or MYC or TFAP2C or KDM2B)
miR4672*= not (MYCN or MYC)
miR101*= not (MYC or KDM2B)
miR144*= not (MYC)
miR582*= not (MYC or SOX2 or TFAP2C)
miR98*= not (KDM2B)
miR198*= not (KDM2B)
miR93*= not (MYCN)
let7a*= not (MYC)
miR6504*= miR6504
miR181b*= miR181b"""

primes = sm.format.create_primes(rules)
ar = sm.AttractorRepertoire.from_primes(primes)
ar.summary()

I get all 56 attractors printed (I counted the number of curly brackets in a text editor to verify). You can expand the "Details" drop-down menu below to see the output I got in case you want to double check.

In short, Python doesn't know how to put a plot in a text file, hence the strange behavior you observed.

``` There are 56 attractors. {'CAND2': 0, 'DIDO1': 0, 'KDM2B': 0, 'KDM5A': 1, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 1, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 1, 'miR144': 1, 'miR181b': 0, 'miR198': 1, 'miR3941': 1, 'miR4672': 1, 'miR582': 1, 'miR6504': 0, 'miR92a': 1, 'miR93': 1, 'miR98': 1} {'CAND2': 0, 'DIDO1': 0, 'KDM2B': 0, 'KDM5A': 1, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 1, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 1, 'miR144': 1, 'miR181b': 0, 'miR198': 1, 'miR3941': 1, 'miR4672': 1, 'miR582': 1, 'miR6504': 1, 'miR92a': 1, 'miR93': 1, 'miR98': 1} {'CAND2': 0, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 1, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 0, 'miR144': 1, 'miR181b': 0, 'miR198': 0, 'miR3941': 0, 'miR4672': 1, 'miR582': 1, 'miR6504': 0, 'miR92a': 1, 'miR93': 1, 'miR98': 0} {'CAND2': 1, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 1, 'MYC': 1, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 0, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 0, 'miR92a': 0, 'miR93': 1, 'miR98': 0} {'CAND2': 1, 'DIDO1': 1, 'KDM2B': 1, 'KDM5A': 1, 'MYC': 1, 'MYCN': 1, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 1, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 0, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 0, 'miR92a': 0, 'miR93': 0, 'miR98': 0} {'CAND2': 0, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 1, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 0, 'miR144': 1, 'miR181b': 0, 'miR198': 0, 'miR3941': 0, 'miR4672': 1, 'miR582': 1, 'miR6504': 1, 'miR92a': 1, 'miR93': 1, 'miR98': 0} {'CAND2': 1, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 1, 'MYC': 1, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 0, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 1, 'miR92a': 0, 'miR93': 1, 'miR98': 0} {'CAND2': 0, 'DIDO1': 0, 'KDM2B': 0, 'KDM5A': 0, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 1, 'X2': 0, 'X3': 0, 'let7a': 1, 'miR101': 1, 'miR144': 1, 'miR181b': 1, 'miR198': 1, 'miR3941': 1, 'miR4672': 1, 'miR582': 1, 'miR6504': 0, 'miR92a': 1, 'miR93': 1, 'miR98': 1} {'CAND2': 0, 'DIDO1': 0, 'KDM2B': 0, 'KDM5A': 0, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 1, 'X2': 0, 'X3': 0, 'let7a': 1, 'miR101': 1, 'miR144': 1, 'miR181b': 1, 'miR198': 1, 'miR3941': 1, 'miR4672': 1, 'miR582': 1, 'miR6504': 1, 'miR92a': 1, 'miR93': 1, 'miR98': 1} {'CAND2': 0, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 0, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 0, 'miR144': 1, 'miR181b': 1, 'miR198': 0, 'miR3941': 0, 'miR4672': 1, 'miR582': 1, 'miR6504': 0, 'miR92a': 1, 'miR93': 1, 'miR98': 0} {'CAND2': 1, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 0, 'MYC': 1, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 1, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 0, 'miR92a': 0, 'miR93': 1, 'miR98': 0} {'CAND2': 1, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 0, 'MYC': 1, 'MYCN': 1, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 1, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 0, 'miR92a': 0, 'miR93': 0, 'miR98': 0} {'CAND2': 0, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 0, 'MYC': 0, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 1, 'miR101': 0, 'miR144': 1, 'miR181b': 1, 'miR198': 0, 'miR3941': 0, 'miR4672': 1, 'miR582': 1, 'miR6504': 1, 'miR92a': 1, 'miR93': 1, 'miR98': 0} {'CAND2': 1, 'DIDO1': 0, 'KDM2B': 1, 'KDM5A': 0, 'MYC': 1, 'MYCN': 0, 'SOX2': 0, 'TFAP2C': 0, 'X1': 0, 'X2': 0, 'X3': 1, 'let7a': 0, 'miR101': 0, 'miR144': 0, 'miR181b': 1, 'miR198': 0, 'miR3941': 0, 'miR4672': 0, 'miR582': 0, 'miR6504': 1, 'miR92a': 0, 'miR93': 1, 'miR98': 0} {'CAND2': 0, 'DIDO1': 0, 'KDM2B': 0, 'KDM5A': 1, 'MYC': 0, 'MYCN': 0, 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