The main function biclust() provides several algorithms to find biclusters in two-dimensional data: Cheng and Church (2000, ISBN:1-57735-115-0), spectral (2003) <doi:10.1101/gr.648603>, plaid model (2005) <doi:10.1016/j.csda.2004.02.003>, xmotifs (2003) <doi:10.1142/9789812776303_0008> and bimax (2006) <doi:10.1093/bioinformatics/btl060>. In addition, the package provides methods for data preprocessing (normalization and discretisation), visualisation, and validation of bicluster solutions.
Version: 2.0.3.1 Depends: R (≥ 2.10), MASS, grid, colorspace, lattice Imports: methods, flexclust, additivityTests, tidyr, ggplot2 Suggests: isa2 Published: 2023-05-19 DOI: 10.32614/CRAN.package.biclust Author: Sebastian Kaiser, Rodrigo Santamaria, Tatsiana Khamiakova, Martin Sill, Roberto Theron, Luis Quintales, Friedrich Leisch, Ewoud De Troyer and Sami Leon. Maintainer: Sebastian Kaiser <dr.sebastian.kaiser at gmail.com> License: GPL-3 NeedsCompilation: yes Materials: NEWS In views: Cluster CRAN checks: biclust results [issues need fixing before 2025-09-03] Documentation: Downloads: Reverse dependencies: Reverse depends: iBBiG, QUBIC, runibic, superbiclust Reverse imports: Anthropometry, BiBitR, biclustermd, miRSM, mosbi, rqubic, sigQC Reverse suggests: BcDiag, isa2, rattle Linking:Please use the canonical form https://CRAN.R-project.org/package=biclust to link to this page.
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