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Improved biclustering of microarray data demonstrated through systematic performance tests

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  • Turner, Heather
  • Bailey, Trevor
  • Krzanowski, Wojtek

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  • Turner, Heather & Bailey, Trevor & Krzanowski, Wojtek, 2005. "Improved biclustering of microarray data demonstrated through systematic performance tests," Computational Statistics & Data Analysis, Elsevier, vol. 48(2), pages 235-254, February.
    • Handle: RePEc:eee:csdana:v:48:y:2005:i:2:p:235-254
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    References listed on IDEAS

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    1. Anil Chaturvedi & J. Carroll, 1994. "An alternating combinatorial optimization approach to fitting the INDCLUS and generalized INDCLUS models," Journal of Classification, Springer;The Classification Society, vol. 11(2), pages 155-170, September.
    2. B. Mirkin, 1987. "Additive clustering and qualitative factor analysis methods for similarity matrices," Journal of Classification, Springer;The Classification Society, vol. 4(1), pages 7-31, March.
    3. Michael D. Lee, 1999. "An Extraction and Regularization Approach to Additive Clustering," Journal of Classification, Springer;The Classification Society, vol. 16(2), pages 255-281, July.
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    Cited by:

    1. Jian Zhang, 2010. "A Bayesian model for biclustering with applications," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 59(4), pages 635-656, August.
    2. Aaditya V Rangan & Caroline C McGrouther & John Kelsoe & Nicholas Schork & Eli Stahl & Qian Zhu & Arjun Krishnan & Vicky Yao & Olga Troyanskaya & Seda Bilaloglu & Preeti Raghavan & Sarah Bergen & Ande, 2018. "A loop-counting method for covariate-corrected low-rank biclustering of gene-expression and genome-wide association study data," PLOS Computational Biology, Public Library of Science, vol. 14(5), pages 1-29, May.
    3. Xu Gao & Weining Shen & Liwen Zhang & Jianhua Hu & Norbert J. Fortin & Ron D. Frostig & Hernando Ombao, 2021. "Regularized matrix data clustering and its application to image analysis," Biometrics, The International Biometric Society, vol. 77(3), pages 890-902, September.
    4. Eric C. Chi & Genevera I. Allen & Richard G. Baraniuk, 2017. "Convex biclustering," Biometrics, The International Biometric Society, vol. 73(1), pages 10-19, March.
    5. Thierry Chekouo & Alejandro Murua, 2015. "The penalized biclustering model and related algorithms," Journal of Applied Statistics, Taylor & Francis Journals, vol. 42(6), pages 1255-1277, June.
    6. Laura D'Angelo & Antonio Canale & Zhaoxia Yu & Michele Guindani, 2023. "Bayesian nonparametric analysis for the detection of spikes in noisy calcium imaging data," Biometrics, The International Biometric Society, vol. 79(2), pages 1370-1382, June.
    7. Segal Mark R. & Xiong Hao & Bengtsson Henrik & Bourgon Richard & Gentleman Robert, 2012. "Querying Genomic Databases: Refining the Connectivity Map," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 11(2), pages 1-37, January.
    8. Tom Wilderjans & Dirk Depril & Iven Van Mechelen, 2013. "Additive Biclustering: A Comparison of One New and Two Existing ALS Algorithms," Journal of Classification, Springer;The Classification Society, vol. 30(1), pages 56-74, April.
    9. Chuan Gao & Ian C McDowell & Shiwen Zhao & Christopher D Brown & Barbara E Engelhardt, 2016. "Context Specific and Differential Gene Co-expression Networks via Bayesian Biclustering," PLOS Computational Biology, Public Library of Science, vol. 12(7), pages 1-39, July.
    10. Edoardo Saccenti & Johan A Westerhuis & Age K Smilde & Mariët J van der Werf & Jos A Hageman & Margriet M W B Hendriks, 2011. "Simplivariate Models: Uncovering the Underlying Biology in Functional Genomics Data," PLOS ONE, Public Library of Science, vol. 6(6), pages 1-13, June.

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