Strategies for identifying statistically significant dense regions in microarray data

Strategies for identifying statistically significant dense regions in microarray data

IEEE/ACM Transactions on Computational Biology and Bioinformatics

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Bibliographic Details
Main Authors: Yip, A.M., Ng, M.K., Wu, E.H., Chan, T.F.
Other Authors: MATHEMATICS
Format: Article
Published: 2014
Subjects:
Bicluster
Categorical data
Clustering
Coexpressed genes
Dense region
Gene expression
Microarray
Online Access:http://scholarbank.nus.edu.sg/handle/10635/53191
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Institution: National University of Singapore
Description
Summary:IEEE/ACM Transactions on Computational Biology and Bioinformatics

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