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VIOLIN (Validating Interactions Of Likely Importance to the Network) is a tool used to automatically classify and judge literature-extracted interactions curated from machine readers by comparing them to existing models. This comparison can help identify key interactions for model extension.

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pitt-miskov-zivanov-lab/VIOLIN

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VIOLIN

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Description of files and folders

  • test_input - input files used in VIOLIN publication
  • test_output - output files generated from files in test_input
  • use_VIOLIN.ipynb - ipy notebook used to run VIOLIN
  • use_VIOLIN.py - python script used to run VIOLIN at the command line

test_input

File Query Curation Method
RA1_reading.xlsx Melanoma REACH
RA2_reading.xlsx MEK, ERK, AKT, GSK3, P70RSK, S6, CDK4, 4EBP1, YB1, SRC, CHK2, MTOR, PI3K REACH explorer
RA2_0_1_reading.xlsx RA2 without LEEs involving biological processes or chemicals Manual
RA2_0_1_1_reading.xlsx RA2_0_1 without LEEs which were redundant or irrelevant Manual
RA3_reading.xlsx MAPK/ERK pathway REACH explorer
RA4_reading.xlsx RPS6K1 REACH explorer

test_output

  • For each reading set R# in test_input
File Contents
R#_corroborations.csv All LEEs judged as collaborations
R#_contradictions.csv All LEEs judged as contradictions
R#_extensions.csv All LEEs judged as extensions
R#_flagged.csv All LEEs judged as flagged
R#_outputDF.csv All LEEs, in order of descending Total Score

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VIOLIN (Validating Interactions Of Likely Importance to the Network) is a tool used to automatically classify and judge literature-extracted interactions curated from machine readers by comparing them to existing models. This comparison can help identify key interactions for model extension.

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