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biclustermd
View on CRAN: Click
here
Download and install biclustermd package within the R console
Install from CRAN:
install.packages("biclustermd")
Install from Github:
library("remotes")
install_github("cran/biclustermd") Install by package version:
library("remotes")
install_version("biclustermd", "0.2.3") Attach the package and use:
library("biclustermd")
Maintained by
John Reisner
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-09-30
Latest Update: 2021-06-17
Description:
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
How to cite:
John Reisner (2019). biclustermd: Biclustering with Missing Data. R package version 0.2.3, https://cran.r-project.org/web/packages/biclustermd. Accessed 07 Aug. 2026.
Previous versions and publish date:
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Other R packages that biclustermd depends,
imports, suggests or enhances
Complete documentation for biclustermd
Functions, R codes and Examples using
the biclustermd R package
Some associated functions: as.Biclust . autoplot.biclustermd . autoplot.biclustermd_sim . autoplot.biclustermd_sse . biclustermd-package . biclustermd . binary_vector_gen . cell_heatmap . cell_mse . cluster_iteration_sum_sse . col.names.biclustermd . col.names . col_cluster_names . compare_biclusters . fill_empties_P . fill_empties_Q . format_partition . gather.biclustermd . jaccard_similarity . mse_heatmap . part_matrix_to_vector . partition_gen . partition_gen_by_p . position_finder . print.biclustermd . reorder_biclust . rep_biclustermd . results_heatmap . row.names.biclustermd . row_cluster_names . runtimes . synthetic . tune_biclustermd .
Some associated R codes: as.Biclust.R . autoplot.biclustermd.R . autoplot.biclustermd_sim.R . autoplot.biclustermd_sse.R . biclustermd-package.R . biclustermd.R . binary_vector_gen.R . cell_heatmap.R . cell_mse.R . cluster_iteration_sum_sse.R . col.names.R . col.names.biclustermd.R . col_cluster_names.R . compare_biclusters.R . fill_empties_P.R . fill_empties_Q.R . format_partition.R . gather.biclustermd.R . globalvars.R . jaccard.R . mse_heatmap.R . part_matrix_to_vector.R . partition_gen.R . partition_gen_by_p.R . position_finder.R . print.R . reorder_biclust.R . rep_biclustermd.R . results_heatmap.R . row.names.biclustermd.R . row_cluster_names.R . runtimes.R . synthetic.R . tune_biclustermd.R . Full biclustermd package functions and examples
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