Blog
About

1,213
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      A review of feature selection techniques in bioinformatics.

      Bioinformatics

      methods, Sequence Analysis, Pattern Recognition, Automated, Models, Biological, Gene Expression Profiling, Computer Simulation, Computational Biology, Artificial Intelligence, Algorithms

      Read this article at

      ScienceOpenPublisherPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Feature selection techniques have become an apparent need in many bioinformatics applications. In addition to the large pool of techniques that have already been developed in the machine learning and data mining fields, specific applications in bioinformatics have led to a wealth of newly proposed techniques. In this article, we make the interested reader aware of the possibilities of feature selection, providing a basic taxonomy of feature selection techniques, and discussing their use, variety and potential in a number of both common as well as upcoming bioinformatics applications.

          Related collections

          Author and article information

          Journal
          17720704
          10.1093/bioinformatics/btm344

          Comments

          Comment on this article