27 lines
1.5 KiB
Markdown
27 lines
1.5 KiB
Markdown
---
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title: "Biclustering"
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chunk: 3/3
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source: "https://en.wikipedia.org/wiki/Biclustering"
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category: "reference"
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tags: "science, encyclopedia"
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date_saved: "2026-05-05T14:01:29.881151+00:00"
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instance: "kb-cron"
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---
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== See also ==
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Formal concept analysis
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Biclique
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Galois connection
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== References ==
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=== Others ===
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N.K. Verma, S. Bajpai, A. Singh, A. Nagrare, S. Meena, Yan Cui, "A Comparison of Biclustering Algorithms" in International conference on Systems in Medicine and Biology (ICSMB 2010)in IIT Kharagpur India, pp. 90–97, Dec. 16–18.
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J. Gupta, S. Singh and N.K. Verma "MTBA: MATLAB Toolbox for Biclustering Analysis", IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions", IIT Kanpur India, pp. 148–152, Jul. 2013.
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A. Tanay. R. Sharan, and R. Shamir, "Biclustering Algorithms: A Survey", In Handbook of Computational Molecular Biology, Edited by Srinivas Aluru, Chapman (2004)
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Kluger Y, Basri R, Chang JT, Gerstein MB (2003). "Spectral Biclustering of Microarray Data: Coclustering Genes and Conditions". Genome Research. 13 (4): 703–716. doi:10.1101/gr.648603. PMC 430175. PMID 12671006.
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Adetayo Kasim, Ziv Shkedy, Sebastian Kaiser, Sepp Hochreiter, Willem Talloen (2016), Applied Biclustering Methods for Big and High-Dimensional Data Using R, Chapman & Hall/CRC Press
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Orzechowski, P., Sipper, M., Huang, X., & Moore, J. H. (2018). EBIC: an evolutionary-based parallel biclustering algorithm for pattern discovery. Bioinformatics.
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== External links ==
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FABIA: Factor Analysis for Bicluster Acquisition, an R package —software |