EzMap specifications

Information


Unique identifier OMICS_17415
Name EzMap
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Programming languages Python
Computer skills Advanced
Stability Stable
Requirements
Numpy, Scipy, Biopython
Maintained Yes

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Versioning


No version available

Maintainer


  • person_outline Jason de Koning

Publication for EzMap

EzMap citation

library_books

Whole Brain Approaches for Identification of Microstructural Abnormalities in Individual Patients: Comparison of Techniques Applied to Mild Traumatic Brain Injury

2013
PLoS One
PMCID: 3608654
PMID: 23555665
DOI: 10.1371/journal.pone.0059382

[…] ill fewer abnormalities. The FWER-control identified the fewest voxels as abnormal. Interestingly, the number of abnormal voxels from standard Z-score was about 1.5 times greater than the number from EZMAP, and again the number from EZ-MAP was about 1.5 times greater than the number from “one vs. many” t-test. Abnormal regions detected by the standard Z-score should contain more false positives du […]

EzMap institution(s)
Bioinformatics Bachelor of Health Sciences Program, Cumming School of Medicine, University of Calgary, Calgary, Canada; Department of Pediatrics, Cardiac Sciences, Biochemistry & Molecular Biology, Alberta Children’s Hospital Research Institute, Libin Cardiovascular Institute of Alberta, Cumming School of Medicine, University of Calgary, Calgary, Canada; Department of Biochemistry and Molecular Biology, Department of Medical Genetics, Alberta Children’s Hospital Research Institute, Cumming School of Medicine, University of Calgary, Calgary, Canada
EzMap funding source(s)
Supported by startup and infrastructure support from the Alberta Children’s Hospital Research Institute and by the Canada Foundation for Innovation (CFI LOF #31908).

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