Package: microSTASIS 1.5.0

Pedro Sánchez-Sánchez

microSTASIS: Microbiota STability ASsessment via Iterative cluStering

The toolkit 'µSTASIS', or microSTASIS, has been developed for the stability analysis of microbiota in a temporal framework by leveraging on iterative clustering. Concretely, the core function uses Hartigan-Wong k-means algorithm as many times as possible for stressing out paired samples from the same individuals to test if they remain together for multiple numbers of clusters over a whole data set of individuals. Moreover, the package includes multiple functions to subset samples from paired times, validate the results or visualize the output.

Authors:Pedro Sánchez-Sánchez [aut, cre], Alfonso Benítez-Páez [aut]

microSTASIS_1.5.0.tar.gz
microSTASIS_1.5.0.zip(r-4.5)microSTASIS_1.5.0.zip(r-4.4)microSTASIS_1.5.0.zip(r-4.3)
microSTASIS_1.5.0.tgz(r-4.4-any)microSTASIS_1.5.0.tgz(r-4.3-any)
microSTASIS_1.5.0.tar.gz(r-4.5-noble)microSTASIS_1.5.0.tar.gz(r-4.4-noble)
microSTASIS_1.5.0.tgz(r-4.4-emscripten)microSTASIS_1.5.0.tgz(r-4.3-emscripten)
microSTASIS.pdf |microSTASIS.html
microSTASIS/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/biotechpedro/microstasis/issues

Datasets:
  • clr - Detected ASV from multiple individuals at four different sampling times.

On BioConductor:microSTASIS-1.5.0(bioc 3.20)microSTASIS-1.4.0(bioc 3.19)

bioconductor-package

11 exports 0.36 score 84 dependencies 41 downloads

Last updated 2 months agofrom:00fe97a14b

Exports:iterativeClusteringiterativeClusteringCVmSerrorCVmSinternalPairedTimesmSmetadataGroupsmSprevizpairedTimesplotmSdynamicsplotmSheatmapplotmSlinesCVplotmSscatter

Dependencies:abindapeaskpassBHBiobaseBiocGenericsBiocParallelBiostringscachemclicodetoolscolorspacecpp11crayoncurlDelayedArraydigestdplyrfansifarverfastmapformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2ggsidegluegtablehttrIRangesisobandjsonlitelabelinglambda.rlatticelazyevallifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigpurrrR6RColorBrewerRcpprlangS4ArraysS4VectorsscalesSingleCellExperimentsnowSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselecttidytreetreeioTreeSummarizedExperimentUCSC.utilsutf8vctrsviridisLitewithrXVectoryulab.utilszlibbioc

Introduction to microSTASIS

Rendered frommicroSTASIS.Rmdusingknitr::rmarkdownon Jun 30 2024.

Last update: 2022-10-25
Started: 2022-09-10