Package: sigminer.prediction 0.2.0

sigminer.prediction: Train and Predict Cancer Subtype with Keras Model based on Mutational Signatures

Mutational signatures represent mutational processes occured in cancer evolution, thus are stable and genetic resources for subtyping. This tool provides functions for training neutral network models to predict the subtype a sample belongs to based on 'keras' and 'sigminer' packages.

Authors:Shixiang Wang [aut, cre]

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sigminer.prediction.pdf |sigminer.prediction.html✨
sigminer.prediction/json (API)

# Install 'sigminer.prediction' in R:
install.packages('sigminer.prediction', repos = c('https://shixiangwang.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/shixiangwang/sigminer.prediction/issues

On CRAN:

Conda:

kerasmutational-signaturesprostate-cancersigminer

2.60 score 8 stars 2 scripts 1 mentions 7 exports 142 dependencies

Last updated 3 years agofrom:0572bfc65f. Checks:1 OK, 7 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 12 2025
R-4.5-winERRORFeb 12 2025
R-4.5-macERRORFeb 12 2025
R-4.5-linuxERRORFeb 12 2025
R-4.4-winERRORFeb 12 2025
R-4.4-macERRORFeb 12 2025
R-4.3-winERRORFeb 12 2025
R-4.3-macERRORFeb 12 2025

Exports:batch_modeling_and_fittingcopy_modellist_trained_modelsload_trained_modelmodeling_and_fittingprepare_datatidy

Dependencies:abindbackportsbase64encBiobaseBiocGenericsBiocManagerbootbroomcarcarDatacaretclasscliclockclustercodetoolscolorspaceconfigcorrplotcowplotcpp11data.tableDerivdiagramdigestDNAcopydoBydoParalleldplyre1071fansifarverforeachFormulafurrrfuturefuture.applygenericsggplot2ggpubrggrepelggsciggsignifglobalsgluegowergridBasegridExtragtablehardhathereipredisobanditeratorsjsonlitekerasKernSmoothlabelinglatticelavalifecyclelistenvlme4lubridatemaftoolsmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqaModelMetricsmodelrmunsellnlmenloptrNMFnnetnumDerivparallellypbkrtestpheatmappillarpkgconfigplyrpngpolynompROCprocessxprodlimprogressrproxypspurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRcppTOMLRdpackrecipesreformulasregistryreshape2reticulateRhtslibrlangrngtoolsrpartrprojrootrstatixrstudioapiscalesshapesigminerSparseMsparsevctrsSQUAREMstringistringrsurvivaltensorflowtfautographtfrunstibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewhiskerwithryamlzeallotzlibbioc