# Requirements automatically generated by pigar.
# https://github.com/Damnever/pigar

# NetViz/NetViz.py: 8
colorutils == 0.2.1

# NetViz/NetViz.py: 4
graphviz == 0.8.2

# EGFR/GeneralParser.py: 9
# EGFR/IPMS.py: 5
# EGFR/assess_ranking.py: 4
# EGFR/pyupset/visualisation.py: 13
# EGFR/runEGFR.py: 6
# EGFR/utils.py: 8
# NetViz/NetViz.py: 3
# assessNetwork.py: 4
# crawlPubMedFiles.py: 4
# downloadPubMed.py: 3
# geneMapping.py: 3
# processNetworks.py: 3
# utils.py: 3
ipython == 6.2.1

# crawlPubMedFiles.py: 10
# utils.py: 1
lxml == 4.1.1

# EGFR/IPMS.py: 3
# EGFR/assess_ranking.py: 1,3
# EGFR/pyupset/visualisation.py: 10,12
# EGFR/runEGFR.py: 3
# EGFR/utils.py: 5,6,13
# assessNetwork.py: 3,12,114,119,139
matplotlib == 2.1.2

# NetViz/NetViz.py: 1,2
networkx == 2.1

# EGFR/IPMS.py: 2
# EGFR/assess_ranking.py: 2
# EGFR/pyupset/visualisation.py: 5
# EGFR/runEGFR.py: 5
# EGFR/utils.py: 3
# NetViz/NetViz.py: 6
# assessNetwork.py: 2
# crawlPubMedFiles.py: 8,14
# geneMapping.py: 2
# processNetworks.py: 4
numpy == 1.14.2

# processNetworks.py: 2
obonet == 0.2.2

# EGFR/IPMS.py: 1
# EGFR/assess_ranking.py: 8
# EGFR/pyupset/visualisation.py: 4
# EGFR/utils.py: 12
# crawlPubMedFiles.py: 5
pandas == 0.20.1

# assessNetwork.py: 113
powerlaw == 1.4.3

# EGFR/IPMS.py: 4
# EGFR/assess_ranking.py: 7
# EGFR/utils.py: 1,2
scikit_learn == 0.18.2

# NetViz/NetViz.py: 5
# assessNetwork.py: 6
# crawlPubMedFiles.py: 2,7,9
# geneMapping.py: 1
# processNetworks.py: 5,191
scipy == 0.19.1

# EGFR/utils.py: 4
seaborn == 0.8.1