Subject Matching Tool
This is a command line tool for finding the best matching controls for a group of patients.
matches patients and controls according age and gender
cli:
cwlVersion: v1.0-extended
class: pythonclass
baseCommand: result = subject_match_class.SubjectMatch(patients_df,controls_df,max_yeardiff)
inputs:
patients_df:
type: pandas.DataFrame
inputBinding:
position: 0
doc: "pandas dataframe with colums ['subjectID','age','gender'], age in years, gender='m','f','o','u'"
controls_df:
type: pandas.DataFrame
inputBinding:
position: 1
doc: "pandas dataframe with colums ['subjectID','age','gender'], age in years, gender='m','f','o','u'"
max_yeardiff:
type: int?
inputBinding:
positions: 2
doc: "acceptable devation from age in year in both directions, default = 2"
outputs:
results.matching:
type: pandas.DataFrame
doc: ""pandas dataframe with colums 'patientID', 'age_p', 'gender_p','controlID', 'age_c', 'gender_c']."
s:author:
- class: s:Person
s:identifier: https://orcid.org/0000-0002-7238-5339
s:email: mailto:dagmar.krefting@htw-berlin.de
s:name: Dagmar Krefting
s:dateCreated: "2019-07-19"
s:license: https://spdx.org/licenses/Apache-2.0
s:keywords: edam:topic_3063, edam:topic_2082
doc: 3063: medical informatics, 2082: matrix
s:programmingLanguage: python3
$namespaces:
s: https://schema.org/
edam: http://edamontology.org/
$schemas:
- https://schema.org/docs/schema_org_rdfa.html
- http://edamontology.org/EDAM_1.18.owl