Package: mslp 1.7.0

Chunxuan Shao

mslp: Predict synthetic lethal partners of tumour mutations

An integrated pipeline to predict the potential synthetic lethality partners (SLPs) of tumour mutations, based on gene expression, mutation profiling and cell line genetic screens data. It has builtd-in support for data from cBioPortal. The primary SLPs correlating with muations in WT and compensating for the loss of function of mutations are predicted by random forest based methods (GENIE3) and Rank Products, respectively. Genetic screens are employed to identfy consensus SLPs leads to reduced cell viability when perturbed.

Authors:Chunxuan Shao [aut, cre]

mslp_1.7.0.tar.gz
mslp_1.7.0.zip(r-4.5)mslp_1.7.0.zip(r-4.4)mslp_1.7.0.zip(r-4.3)
mslp_1.7.0.tgz(r-4.4-any)mslp_1.7.0.tgz(r-4.3-any)
mslp_1.7.0.tar.gz(r-4.5-noble)mslp_1.7.0.tar.gz(r-4.4-noble)
mslp_1.7.0.tgz(r-4.4-emscripten)mslp_1.7.0.tgz(r-4.3-emscripten)
mslp.pdf |mslp.html
mslp/json (API)
NEWS

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

Peer review:

Datasets:

On BioConductor:mslp-1.7.0(bioc 3.20)mslp-1.6.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

9 exports 0.36 score 55 dependencies

Last updated 2 months agofrom:847986ed28

Exports:comp_slpcons_slpcorr_slpest_imgenie3getlinkmerge_slppp_tcgascr_slp

Dependencies:AnnotationDbiaskpassBiobaseBiocGenericsBiostringsbitbit64blobcachemclicodetoolscpp11crayoncurldata.tableDBIdigestdoRNGfastmapfmsbforeachGenomeInfoDbGenomeInfoDbDatagluegmphttrIRangesiteratorsjsonliteKEGGRESTlifecyclemagrittrmemoisemimeopensslorg.Hs.eg.dbpkgconfigplogrplyrpngpROCR6randomForestRankProdRcpprlangRmpfrrngtoolsRSQLiteS4VectorssysUCSC.utilsvctrsXVectorzlibbioc

mslp

Rendered frommslp.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2023-01-30
Started: 2021-10-07