ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem

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ROSEFW-RF: the winner algorithm for the ECBDL’14 big data competition: an extremely imbalanced big data bioinformatics problem

The application of data mining and machine learning techniques to biological and biomedicine data continues to be an ubiquitous research theme in current bioinformatics. The rapid advances in biotechnology are allowing us to obtain and store large quantities of data about cells, proteins, genes, etc...

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Bibliographic Details
Main Authors:	Triguero, Isaac, del Río, Sara, López, Victoria, Bacardit, Jaume, Benítez, José M., Herrera, Francisco
Format:	Article
Published:	Elsevier 2015
Subjects:	Bioinformatics; Big data; Hadoop; MapReduce; Imbalance classification; Evolutionary feature selection
Online Access:	https://eprints.nottingham.ac.uk/45418/

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