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]

sigminer.prediction_0.2.0.tar.gz
sigminer.prediction_0.2.0.zip(r-4.5)sigminer.prediction_0.2.0.zip(r-4.4)sigminer.prediction_0.2.0.zip(r-4.3)
sigminer.prediction_0.2.0.tgz(r-4.5-any)sigminer.prediction_0.2.0.tgz(r-4.4-any)sigminer.prediction_0.2.0.tgz(r-4.3-any)
sigminer.prediction_0.2.0.tar.gz(r-4.5-noble)sigminer.prediction_0.2.0.tar.gz(r-4.4-noble)
sigminer.prediction_0.2.0.tgz(r-4.4-emscripten)sigminer.prediction_0.2.0.tgz(r-4.3-emscripten)
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, 8 ERROR. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 14 2025
R-4.5-winERRORMar 14 2025
R-4.5-macERRORMar 14 2025
R-4.5-linuxERRORMar 14 2025
R-4.4-winERRORMar 14 2025
R-4.4-macERRORMar 14 2025
R-4.4-linuxERRORMar 14 2025
R-4.3-winERRORMar 14 2025
R-4.3-macERRORMar 14 2025

Exports:batch_modeling_and_fittingcopy_modellist_trained_modelsload_trained_modelmodeling_and_fittingprepare_datatidy

Dependencies:abindbackportsbase64encBiobaseBiocGenericsBiocManagerbootbroomcarcarDatacaretclasscliclockclustercodetoolscolorspaceconfigcorrplotcowplotcpp11data.tableDerivdiagramdigestDNAcopydoBydoParalleldplyre1071fansifarverforeachFormulafurrrfuturefuture.applygenericsggplot2ggpubrggrepelggsciggsignifglobalsgluegowergridBasegridExtragtablehardhathereipredisobanditeratorsjsonlitekerasKernSmoothlabelinglatticelavalifecyclelistenvlme4lubridatemaftoolsmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqaModelMetricsmodelrmunsellnlmenloptrNMFnnetnumDerivparallellypbkrtestpheatmappillarpkgconfigplyrpngpolynompROCprocessxprodlimprogressrproxypspurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRcppTOMLRdpackrecipesreformulasregistryreshape2reticulateRhtslibrlangrngtoolsrpartrprojrootrstatixrstudioapiscalesshapesigminerSparseMsparsevctrsSQUAREMstringistringrsurvivaltensorflowtfautographtfrunstibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewhiskerwithryamlzeallotzlibbioc