Package: biclustermd 0.2.3

biclustermd: Biclustering with Missing Data

Biclustering is a statistical learning technique that simultaneously partitions and clusters rows and columns of a data matrix. Since the solution space of biclustering is in infeasible to completely search with current computational mechanisms, this package uses a greedy heuristic. The algorithm featured in this package is, to the best our knowledge, the first biclustering algorithm to work on data with missing values. Li, J., Reisner, J., Pham, H., Olafsson, S., and Vardeman, S. (2020) Biclustering with Missing Data. Information Sciences, 510, 304–316.

Authors:John Reisner [cre, aut, cph], Hieu Pham [ctb, cph], Jing Li [ctb, cph]

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biclustermd.pdf |biclustermd.html✨
biclustermd/json (API)

Peer review:

Bug tracker:https://github.com/jreisner/biclustermd/issues

On CRAN:

9 exports 3 stars 0.94 score 50 dependencies 5 scripts 304 downloads

Last updated 3 years agofrom:975af747fc. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:as.Biclustbiclustermdcell_heatmapcell_msecol.namescompare_biclustersmse_heatmaprep_biclustermdtune_biclustermd

Dependencies:additivityTestsapebiclustclassclicodetoolscolorspacecpp11digestdoParalleldplyrfansifarverflexclustforeachgenericsggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmodeltoolsmunsellnlmenycflights13phyclustpillarpkgconfigpurrrR6RColorBrewerRcpprlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr