Package: weitrix 1.19.0
Paul Harrison
weitrix: Tools for matrices with precision weights, test and explore weighted or sparse data
Data type and tools for working with matrices having precision weights and missing data. This package provides a common representation and tools that can be used with many types of high-throughput data. The meaning of the weights is compatible with usage in the base R function "lm" and the package "limma". Calibrate weights to account for known predictors of precision. Find rows with excess variability. Perform differential testing and find rows with the largest confident differences. Find PCA-like components of variation even with many missing values, rotated so that individual components may be meaningfully interpreted. DelayedArray matrices and BiocParallel are supported.
Authors:
weitrix_1.19.0.tar.gz
weitrix_1.19.0.zip(r-4.5)weitrix_1.19.0.zip(r-4.4)weitrix_1.19.0.zip(r-4.3)
weitrix_1.19.0.tgz(r-4.4-any)weitrix_1.19.0.tgz(r-4.3-any)
weitrix_1.19.0.tar.gz(r-4.5-noble)weitrix_1.19.0.tar.gz(r-4.4-noble)
weitrix_1.19.0.tgz(r-4.4-emscripten)weitrix_1.19.0.tgz(r-4.3-emscripten)
weitrix.pdf |weitrix.html✨
weitrix/json (API)
NEWS
| # Install 'weitrix' in R: |
| install.packages('weitrix', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
- simwei - Simulated weitrix dataset.
On BioConductor:weitrix-1.19.0(bioc 3.21)weitrix-1.18.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
softwaredatarepresentationdimensionreductiongeneexpressiontranscriptomicsrnaseqsinglecellregression
Last updated 3 months agofrom:9762181b24. Checks:3 OK, 4 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 20 2025 |
| R-4.5-win | NOTE | Jan 20 2025 |
| R-4.5-linux | NOTE | Jan 20 2025 |
| R-4.4-win | NOTE | Jan 20 2025 |
| R-4.4-mac | NOTE | Jan 20 2025 |
| R-4.3-win | OK | Jan 20 2025 |
| R-4.3-mac | OK | Jan 20 2025 |
Exports:as_weitrixbless_weitrixcomponents_seq_screecomponents_seq_screeplotcounts_proportionscounts_shiftmatrix_longweitrix_calibrateweitrix_calibrate_allweitrix_calibrate_trendweitrix_calplotweitrix_componentsweitrix_components_seqweitrix_confectsweitrix_dispersionsweitrix_elistweitrix_hillweitrix_randomizeweitrix_sd_confectsweitrix_weightsweitrix_weights<-weitrix_xweitrix_x<-well_knotted_spline
Dependencies:abindaskpassassertthatBHBiobaseBiocGenericsBiocParallelCkmeans.1d.dpclicodetoolscolorspacecpp11crayoncurlDelayedArrayDelayedMatrixStatsdplyrfansifarverformatRfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2glm2gluegtablehttrIRangesisobandjsonlitelabelinglambda.rlatticelifecyclelimmamagrittrMASSMatrixMatrixGenericsmatrixStatsmgcvmimemunsellnlmeopensslpillarpkgconfigplyrpurrrR6rbibutilsRColorBrewerRcppRdpackreshape2RhpcBLASctlrlangS4ArraysS4VectorsscalessnowSparseArraysparseMatrixStatsstatmodstringistringrSummarizedExperimentsystibbletidyselecttopconfectsUCSC.utilsutf8vctrsviridisLitewithrXVector
Concepts and practical details
Rendered fromV1_overview.Rmdusingknitr::rmarkdownon Jan 20 2025.Last update: 2020-09-02
Started: 2020-03-15
PAT-Seq poly(A) tail length example
Rendered fromV2_tail_length.Rmdusingknitr::rmarkdownon Jan 20 2025.Last update: 2023-10-08
Started: 2020-03-15
PAT-Seq alternative polyadenylation example
Rendered fromV3_shift.Rmdusingknitr::rmarkdownon Jan 20 2025.Last update: 2023-10-08
Started: 2020-03-15
RNA-Seq expression example
Rendered fromV4_airway.Rmdusingknitr::rmarkdownon Jan 20 2025.Last update: 2021-05-10
Started: 2020-03-15
SLAM-Seq proportion data example
Rendered fromV5_slam_seq.Rmdusingknitr::rmarkdownon Jan 20 2025.Last update: 2023-10-08
Started: 2020-09-04
