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/json (API)

Peer review:

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

On CRAN:

kerasmutational-signaturesprostate-cancersigminer

7 exports 8 stars 1.16 score 136 dependencies 1 mentions 2 scripts

Last updated 2 years agofrom:0572bfc65f. Checks:OK: 1 ERROR: 6. Indexed: yes.

Exports:batch_modeling_and_fittingcopy_modellist_trained_modelsload_trained_modelmodeling_and_fittingprepare_datatidy

Dependencies:abindbackportsbase64encBiobaseBiocGenericsBiocManagerbootbroomcarcarDatacaretclasscliclockclustercodetoolscolorspaceconfigcorrplotcowplotcpp11data.tableDerivdiagramdigestDNAcopydoBydoParalleldplyre1071fansifarverforeachfurrrfuturefuture.applygenericsggplot2ggpubrggrepelggsciggsignifglobalsgluegowergridBasegridExtragtablehardhathereipredisobanditeratorsjsonlitekerasKernSmoothlabelinglatticelavalifecyclelistenvlme4lubridatemaftoolsmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqaModelMetricsmodelrmunsellnlmenloptrNMFnnetnumDerivparallellypbkrtestpillarpkgconfigplyrpngpolynompROCprocessxprodlimprogressrproxypspurrrquantregR6rappdirsRColorBrewerRcppRcppEigenRcppTOMLrecipesregistryreshape2reticulateRhtslibrlangrngtoolsrpartrprojrootrstatixrstudioapiscalesshapesigminerSparseMSQUAREMstringistringrsurvivaltensorflowtfautographtfrunstibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewhiskerwithryamlzeallotzlibbioc