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MCAM: Multiple Clustering Analysis Methodology for Deriving Hypotheses and Insights from High-Throughput Proteomic Datasets
Naegle KM,
Welsch RE,
Yaffe MB,
White FM,
Lauffenburger DA
(2011)
MCAM: Multiple Clustering Analysis Methodology for Deriving Hypotheses and Insights from High-Throughput Proteomic Datasets.
PLOS Computational Biology 7(7): e1002119.
https://doi.org/10.1371/journal.pcbi.1002119