Showing 3 of total 3 results (show query)
bioc
MsCoreUtils:Core Utils for Mass Spectrometry Data
MsCoreUtils defines low-level functions for mass spectrometry data and is independent of any high-level data structures. These functions include mass spectra processing functions (noise estimation, smoothing, binning, baseline estimation), quantitative aggregation functions (median polish, robust summarisation, ...), missing data imputation, data normalisation (quantiles, vsn, ...), misc helper functions, that are used across high-level data structure within the R for Mass Spectrometry packages.
Maintained by RforMassSpectrometry Package Maintainer. Last updated 12 days ago.
infrastructureproteomicsmassspectrometrymetabolomicsbioconductormass-spectrometryutils
16 stars 10.57 score 41 scripts 71 dependents
markvanderloo
simputation:Simple Imputation
Easy to use interfaces to a number of imputation methods that fit in the not-a-pipe operator of the 'magrittr' package.
Maintained by Mark van der Loo. Last updated 8 months ago.
data-scienceimputationofficialstatistics
91 stars 8.42 score 350 scripts
alinetalhouk
diceR:Diverse Cluster Ensemble in R
Performs cluster analysis using an ensemble clustering framework, Chiu & Talhouk (2018) <doi:10.1186/s12859-017-1996-y>. Results from a diverse set of algorithms are pooled together using methods such as majority voting, K-Modes, LinkCluE, and CSPA. There are options to compare cluster assignments across algorithms using internal and external indices, visualizations such as heatmaps, and significance testing for the existence of clusters.
Maintained by Derek Chiu. Last updated 2 months ago.
37 stars 8.13 score 60 scripts 3 dependents