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DESCRIPTION
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DESCRIPTION
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Package: cnmtf
Title: Prioritisation of single nucleotide variants using Corrected non-negative matrix tri-factorisation
Version: 1.0.0
Authors@R: person("Leal", "Luis G.", email = "lgl15@imperial.ac.uk", role = c("aut", "cre"))
Description: This is data fusion algorithm for prioritising reliable associations between SNVs and traits.
This algorithm, called Corrected Non-negative Matrix Factorization (cNMTF), allows for studying the effect of single nucleotide variants on categorical traits, thanks to its main features :
1) It captures the interrelatedness between variants data, the SNVs deleteriousness effect and the protein-protein interactions (PPIs) that might be disrupted.
2) It simultaneously accounts for the patient's outcome and ancestry by means of kernels functions, minimizing the confounding for population structures.
Depends: R (>= 3.3.2)
License: Common Public License.
Encoding: UTF-8
LazyData: true
Imports:
ade4,
doParallel,
igraph,
LDcorSV,
snpStats,
VennDiagram,
RoxygenNote: 6.0.1