Conceptual Approach to Clustering in the Study of Gene Expression-Reference-Cited by-同舟云学术

Conceptual Approach to Clustering in the Study of Gene Expression

Published:2018-11-07 Issue: Volume: Page:
ISSN:2618-9305
Container-title:Proceedings of the International Conference "Mathematical Biology and Bioinformatics"
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Author:

Bogatyrev M.Y.,Samodurov K.V.

Publisher

IMPB RAS - Branch of KIAM RAS

Reference20 articles.

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2. Aleem H.A., Mavituna F., Green D.H. A Galois Field Approach to Modelling Gene Expression Regulation. In: Proceedings 38th International Symposium on Multiple Valued Logic, 2008. 2008:88–93.

3. Dini P., Egri-Nagy A., Nehaniv C., Schilstra M. Mathematical Models of Gene Expression Computing. OPAALS Project Report. 77 p. http://www.lse.ac.uk (accessed 16.08.2018).

4. Tan A.H., Pan H. Predictive neural networks for gene expression data analysis. Neural Netw. 2005;18(3):297–306.

5. Patrick C.H.Ma, Keith C.C.C., Xin Y. An Evolutionary Clustering Algorithm for Gene Expression Microarray Data Analysis. IEEE Transactions on Evolutionary Computation. 2006;10(3):296–314.

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