Faster cyclic loess: normalizing RNA arrays via linear models
KV Ballman, DE Grill, AL Oberg, TM Therneau - Bioinformatics, 2004 - academic.oup.com
KV Ballman, DE Grill, AL Oberg, TM Therneau
Bioinformatics, 2004•academic.oup.comMotivation: 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. Availability: The Splus/R function for fastlo …
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. Availability: The Splus/R function for fastlo …
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.
Availability: The Splus/R function for fastlo normalization is available from the authors.
Oxford University Press