Faster cyclic loess: Normalizing RNA arrays via linear models

Karla V. Ballman, Diane E. Grill, Ann L. Oberg, Terry M. Therneau

Research output: Contribution to journalArticle

124 Scopus citations

Abstract

Motivation: Our goal was to develop a normalization technique that yields results similar to cyclic loess normalization and with speed comparable to quantile normalization. Results: Fastlo yields normalized values similar to cyclic loess and quantile normalization and is fast; it is at least an order of magnitude faster than cyclic loess and approaches the speed of quantile normalization. Furthermore, fastlo is more versatile than both cyclic loess and quantile normalization because it is model-based.

Original languageEnglish (US)
Pages (from-to)2778-2786
Number of pages9
JournalBioinformatics
Volume20
Issue number16
DOIs
StatePublished - Nov 1 2004

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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