title: Faster cyclic loess: normalizing RNA arrays via linear models.
abstract: BACKGROUND
  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.
  
  
  BACKGROUND
  The Splus/R function for fastlo normalization is available from the authors.
authors.affiliation: Division of Biostatistics, Mayo Clinic College of Medicine, Rochester, MN 55905, USA. ballman@mayo.edu
authors.forename: Karla V
authors.initials: KV
authors.lastname: Ballman
authors.forename: Diane E
authors.initials: DE
authors.lastname: Grill
authors.forename: Ann L
authors.initials: AL
authors.lastname: Oberg
authors.forename: Terry M
authors.initials: TM
authors.lastname: Therneau
mesh_terms: D000465:Algorithms; D016477:Artifacts; D020869:Gene Expression Profiling / Q000379:methods* / Q000592:standards; D014644:Genetic Variation; D016014:Linear Models; D008957:Models, Genetic; D009716:Numerical Analysis, Computer-Assisted; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods* / Q000592:standards; D012313:RNA / Q000235:genetics*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D017423:Sequence Analysis, RNA / Q000379:methods* / Q000592:standards
chemical_list: D012313:RNA