Constants¶
Constants of diffupy.
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DEFAULT_DIFFUPY_DIR
= '/home/docs/.diffupy'¶ Default DiffuPy directory
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OUTPUT
= '/home/docs/.diffupy/output'¶ Default DiffuPy output directory
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EMOJI
= '🌐'¶ Available diffusion methods
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RAW
= 'raw'¶ raw
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ML
= 'ml'¶ ml
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GM
= 'gm'¶ gm
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MC
= 'mc'¶ mc
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Z
= 'z'¶ z
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BER_S
= 'ber_s'¶ ber_s
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BER_P
= 'ber_p'¶ ber p
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METHODS
= {'ber_p', 'ber_s', 'gm', 'mc', 'ml', 'raw', 'z'}¶ Available formats
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CSV
= 'csv'¶ csv
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XLS
= 'xls'¶ xml
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XLSX
= 'xlsx'¶ xmls
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TSV
= 'tsv'¶ tsv
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GRAPHML
= 'graphml'¶ graphML
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BEL
= 'bel'¶ bel
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JSON
= 'json'¶ node link json
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PICKLE
= 'pickle'¶ pickle
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GML
= 'gml'¶ gml
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EDGE_LIST
= '.lst'¶ edge list
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GRAPH_FORMATS
= ('csv', 'tsv', 'graphml', 'bel', 'json', 'pickle')¶ Available graph formats
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KERNEL_FORMATS
= ('csv', 'tsv', 'json', 'pickle')¶ Available kernel formats
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FORMAT_SEPARATOR_MAPPING
= {'csv': ',', 'tsv': '\t'}¶ Optional parameters
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THRESHOLD
= 'threshold'¶ Expression value threshold
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ABSOLUTE_VALUE_EXP
= 'absolute_value'¶ Acceptable column names of user submitted network
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SOURCE
= 'Source'¶ Column name for source node
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TARGET
= 'Target'¶ Column name for target node
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RELATION
= 'Relation '¶ Dataset column names
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NODE
= 'Node'¶ Node name
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NODE_TYPE
= 'NodeType'¶ Node type
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SCORE
= 'Score'¶ Unspecified score type
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LOG_FC
= 'LogFC'¶ Log2 fold change (logFC)
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P_VALUE
= 'p-value'¶ Statistical significance (p-value)