Technical Note
EMA - A R package for Easy Microarray data analysis
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* Corresponding author: Nicolas Servant Nicolas.Servant@curie.fr
- † Equal contributors
BMC Research Notes 2010, 3:277 doi:10.1186/1756-0500-3-277
Collection of many packages with easier interface than original implementation
Seungwoo Hwang (2011-11-24 11:22) Korean Bioinformation Center (KOBIC), Korea Research Institute of Bioscience and Biotechnology (KRIBB)
I began trying out EMA package several months ago and found that EMA's re-manufactured function interfaces are indeed easier to use most of the time than those implemented in original packages. Highly recommended.
Competing interests
None.
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