TOMASETTILAB . GITHUB . IO {
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Title:
Supervised mutational signatures • supersigs
Description:
Generate SuperSigs (supervised mutational signatures) from single nucleotide variants in the cancer genome. Functions included in the package allow the user to learn supervised mutational signatures from their data and apply them to new data. The methodology is based on the one described in Afsari (2021, ELife).
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12 years and 4 months (reg. 2013-03-08).
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Keywords {🔍}
data, package, chr, supersigs, afsari, author, development, kuo, zhang, tomasetti, supervised, install, core, functions, vignettesupersigs, signature, factor, smoking, supersig, method, elife, mutational, signatures, cancer, note, details, version, github, age, getsignature, predictsignature, partialsignature, trained, dataset, tutorial, albert, yifan, bahman, cristian, started, reference, changelog, companion, proposed, generate, single, nucleotide, variants, genome, active,
Topics {✒️}
tissue-specific etiological factors yifan zhang cristian tomasetti bahman afsari /tomasettilab/supersigs/ report albert kuo generate mutational signatures single nucleotide variants obtain predicted probabilities supervised mutational signatures tomasettilab/supersigs trained supervised signature zhang tomasetti supervised signature development version trained signature supersigs package active development afsari method proposed statistical method kuo quietly = true age core functions object = supersig links download site built data format newdata = data devtools package get_signature trains partial_signature removes data = data cancer genome org/10 packages type vignette github devtools supersigs 1 supersigs install data package get_signature partial_signature cancer vignette predict_signature
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