Journal
BIOINFORMATICS
Volume 20, Issue 16, Pages 2778-2786Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/bth327
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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.
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