Package: LACE 2.11.0
LACE: Longitudinal Analysis of Cancer Evolution (LACE)
LACE is an algorithmic framework that processes single-cell somatic mutation profiles from cancer samples collected at different time points and in distinct experimental settings, to produce longitudinal models of cancer evolution. The approach solves a Boolean Matrix Factorization problem with phylogenetic constraints, by maximizing a weighed likelihood function computed on multiple time points.
Authors:
LACE_2.11.0.tar.gz
LACE_2.11.0.zip(r-4.5)LACE_2.11.0.zip(r-4.4)LACE_2.11.0.zip(r-4.3)
LACE_2.11.0.tgz(r-4.4-any)LACE_2.11.0.tgz(r-4.3-any)
LACE_2.11.0.tar.gz(r-4.5-noble)LACE_2.11.0.tar.gz(r-4.4-noble)
LACE_2.11.0.tgz(r-4.4-emscripten)LACE_2.11.0.tgz(r-4.3-emscripten)
LACE.pdf |LACE.html✨
LACE/json (API)
NEWS
# Install 'LACE' in R: |
install.packages('LACE', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bimib-disco/lace/issues
- inference - Results obtained with the function LACE on the provided input data from Rambow, Florian, et al. "Toward minimal residual disease-directed therapy in melanoma." Cell 174.4 (2018): 843-855.
- longitudinal_sc_variants - Mutation data from Rambow, Florian, et al. "Toward minimal residual disease-directed therapy in melanoma." Cell 174.4 (2018): 843-855.
On BioConductor:LACE-2.9.1(bioc 3.20)LACE-2.8.0(bioc 3.19)
biomedicalinformaticssinglecellsomaticmutation
Last updated 25 days agofrom:c6d296d70f. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 30 2024 |
R-4.5-win | OK | Oct 31 2024 |
R-4.5-linux | OK | Oct 30 2024 |
R-4.4-win | OK | Oct 31 2024 |
R-4.4-mac | OK | Oct 31 2024 |
R-4.3-win | OK | Oct 30 2024 |
R-4.3-mac | OK | Oct 31 2024 |
Exports:compute.mutation.distancecompute.variants.error.ratesLACElacedataLACEviewlongitudinal.tree.plot
Dependencies:abindAnnotationDbiaskpassassertthatbackportsbase64encBiobaseBiocFileCacheBiocGenericsbiomaRtBiostringsbitbit64blobbslibbspluscachemcallrcheckmateclicliprcodetoolscolorspacecommoncommonmarkconfigrcpp11crayoncrosstalkcurldata.tabledata.treeDBIdbplyrDelayedArraydigestdoParalleldplyrDTellipsisevaluatefansifarverfastmapfilelockfontawesomeforcatsforeachfsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegtablehighrhmshtmltoolshtmlwidgetshttpuvhttrhttr2igraphiniIRangesisobanditeratorsjquerylibjsonliteKEGGRESTknitrlabelinglaterlatticelazyevallearnrlifecyclelogrlubridatemagrittrmarkdownMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplogrpngprettyunitsprocessxprogresspromisespspurrrR6rappdirsRColorBrewerRcppRcppArmadilloRcppGSLRcppParallelRcppTOMLRcppZigguratreadrrenvRfastrlangrmarkdownrprojrootRSQLiteS4ArraysS4VectorssassscalesshinyshinyBSshinydashboardshinyFilesshinyjsshinythemesshinyvalidatesortablesourcetoolsSparseArraystringistringrSummarizedExperimentsvglitesyssystemfontstibbletidyrtidyselecttimechangetinytextzdbUCSC.utilsutf8vctrsviridisLitevroomwithrxfunxml2xtableXVectoryamlzlibbioc
Introduction
Rendered fromv1_introduction.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2023-04-16
Started: 2023-04-16
LACE-interface
Rendered fromv3_LACE_interface.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2023-04-16
Started: 2023-04-16
Running LACE
Rendered fromv2_running_LACE.Rmd
usingknitr::rmarkdown
on Oct 30 2024.Last update: 2023-04-16
Started: 2023-04-16
Readme and manuals
Help Manual
Help page | Topics |
---|---|
compute.mutation.distance | compute.mutation.distance |
compute.variants.error.rates | compute.variants.error.rates |
Results obtained with the function LACE on the provided input data from Rambow, Florian, et al. "Toward minimal residual disease-directed therapy in melanoma." Cell 174.4 (2018): 843-855. | inference |
LACE | LACE |
LACE Interface | lace_interface |
lacedata | lacedata |
LACE Processing and Analysis Interface | LACEview |
Mutation data from Rambow, Florian, et al. "Toward minimal residual disease-directed therapy in melanoma." Cell 174.4 (2018): 843-855. | longitudinal_sc_variants |
longitudinal.tree.plot | longitudinal.tree.plot |