Iterated local search for biclustering of microarray data
PRIB'10 Proceedings of the 5th IAPR international conference on Pattern recognition in bioinformatics
Reverse engineering molecular hypergraphs
Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Genecentric: a package to uncover graph-theoretic structure in high-throughput epistasis data
Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedicine
Functional visualisation of genes using singular value decomposition
AusDM '12 Proceedings of the Tenth Australasian Data Mining Conference - Volume 134
Reverse Engineering Molecular Hypergraphs
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Fuzzy clustering with biological knowledge for gene selection
Applied Soft Computing
Curbing false discovery rates in interpretation of genome-wide expression profiles
Journal of Biomedical Informatics
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Summary: FuncAssociate is a web application that discovers properties enriched in lists of genes or proteins that emerge from large-scale experimentation. Here we describe an updated application with a new interface and several new features. For example, enrichment analysis can now be performed within multiple gene-and protein-naming systems. This feature avoids potentially serious translation artifacts to which other enrichment analysis strategies are subject. Availability: The FuncAssociate web application is freely available to all users at http://llama.med.harvard.edu/funcassociate. Contact: fritz_roth@hms.harvard.edu