Open access peer-reviewed chapter

Kernel Methods for Dimensionality Reduction Applied to the «Omics» Data

By Ferran Reverter, Esteban Vegas and Josep M. Oller

Submitted: June 2nd 2011Reviewed: December 7th 2011Published: February 29th 2012

DOI: 10.5772/37431

Downloaded: 1357

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Ferran Reverter, Esteban Vegas and Josep M. Oller (February 29th 2012). Kernel Methods for Dimensionality Reduction Applied to the «Omics» Data, Principal Component Analysis - Multidisciplinary Applications, Parinya Sanguansat, IntechOpen, DOI: 10.5772/37431. Available from:

chapter statistics

1357total chapter downloads

1Crossref citations

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Principal Component Analysis in the Era of «Omics» Data

By Louis Noel Gastinel

Related Book

First chapter

Two-Dimensional Principal Component Analysis and Its Extensions

By Parinya Sanguansat

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More about us