Module Identification from Heterogeneous Biological Data Using Multiobjective Evolutionary Algorithms-Reference-Cited by-同舟云学术

Module Identification from Heterogeneous Biological Data Using Multiobjective Evolutionary Algorithms

Published:2006 Issue: Volume: Page:573-582
ISSN:0302-9743
Container-title:Parallel Problem Solving from Nature - PPSN IX
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Author:

Calonder Michael,Bleuler Stefan,Zitzler Eckart

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/11844297_58.pdf

Reference12 articles.

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2. Speer, N., Spieth, C., Zell, A.: A memetic co-clustering algorithm for gene expression profiles and biological annotation. In: CEC 2004, pp. 1631–1638. IEEE, Los Alamitos (2004)

3. Steinhauser, D., et al.: Hypothesis-driven approach to predict transcriptional units from gene expression data. Bioinformatics 20(12), 1928–1939 (2004)

4. Lecture Notes in Computer Science;S. Bleuler,2005

5. Prelić, A., et al.: A systematic comparison and evaluation of biclustering methods for gene expression data. Bioinformatics 22(9), 1122–1129 (2006)

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