Noise-robust Soft Clustering of Gene Expression Time-course Data
By Matthias E. Futschik, Bronwyn Carlisle. J. Bioinform. Comput. Biol., 2005
494 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/9e2ddebc96e37b3c28a7ba56f47c853a66c86c6a
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In Molecular Biology
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Citations in the corpus
- Global, in vivo, and site-specific phosphorylation dynamics in signaling networks. (2006, methodology): “The transformed profiles were then clustered using the Mfuzz toolbox (Futschik and Carlisle, 2005), which is based on the open-source statistical language R (RDC Team, 2006).”