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b/paper/codemeta.json |
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{ |
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"@context": "https://raw.githubusercontent.com/mbjones/codemeta/master/codemeta.jsonld", |
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"@type": "Code", |
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"author": [ |
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{ |
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"@id": "0000-0002-7127-2789", |
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"@type": "Person", |
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"email": "nhejazi@berkeley.edu", |
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"name": "Nima S. Hejazi", |
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"affiliation": "University of California, Berkeley" |
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}, |
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{ |
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"@id": "0000-0002-3769-0127", |
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"@type": "Person", |
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"email": "hubbard@berkeley.edu", |
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"name": "Alan E. Hubbard", |
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"affiliation": "University of California, Berkeley" |
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}, |
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{ |
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"@id": "0000-0003-2680-3066", |
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"@type": "Person", |
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"email": "wcai@berkeley.edu", |
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"name": "Weixin Cai", |
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"affiliation": "University of California, Berkeley" |
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} |
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], |
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"identifier": "", |
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"codeRepository": "https://github.com/nhejazi/biotmle", |
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"datePublished": "2017-07-13", |
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"dateModified": "2017-07-13", |
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"dateCreated": "2017-01-08", |
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"description": "R package facilitating biomarker discovery by generalizing moderated statistics for use with asymptotically linear statistical target parameters", |
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"keywords": "targeted learning, variable importance, causal inference, bioinformatics, genomics, R", |
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"license": "MIT", |
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"title": "biotmle: Targeted Learning for Biomarker Discovery", |
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"version": "v1.1.0" |
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} |
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