Comparison of unsupervised feature selection methods for high-dimensional regression problems in prediction of peptide binding affinity. Sarac, F., Uslan, V., Seker, H., & Bouridane, A. In EMBC, pages 8173-8176, 2015. IEEE.
Comparison of unsupervised feature selection methods for high-dimensional regression problems in prediction of peptide binding affinity. [link]Link  Comparison of unsupervised feature selection methods for high-dimensional regression problems in prediction of peptide binding affinity. [link]Paper  bibtex   
@inproceedings{conf/embc/SaracUSB15,
  added-at = {2015-11-30T00:00:00.000+0100},
  author = {Sarac, Ferdi and Uslan, Volkan and Seker, Huseyin and Bouridane, Ahmed},
  biburl = {http://www.bibsonomy.org/bibtex/21c998fec196b248806cdb4a5b1e4612d/dblp},
  booktitle = {EMBC},
  crossref = {conf/embc/2015},
  ee = {http://dx.doi.org/10.1109/EMBC.2015.7320291},
  interhash = {85750d50fd68fcdadbac9a9afb4c6a25},
  intrahash = {1c998fec196b248806cdb4a5b1e4612d},
  isbn = {978-1-4244-9271-8},
  keywords = {dblp},
  pages = {8173-8176},
  publisher = {IEEE},
  timestamp = {2015-12-01T11:46:20.000+0100},
  title = {Comparison of unsupervised feature selection methods for high-dimensional regression problems in prediction of peptide binding affinity.},
  url = {http://dblp.uni-trier.de/db/conf/embc/embc2015.html#SaracUSB15},
  year = 2015
}

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