Faster cyclic loess: normalizing RNA arrays via linear models
Faster cyclic loess: normalizing RNA arrays via linear models
复制标题
DOI：
10.1093/bioinformatics/bth327
复制
发表时间：
2004-11-01
期刊：
影响因子：
5.8
通讯作者：
Therneau, TM
中科院分区：
文献类型：
--
作者：
Ballman, KV;Grill, DE;Therneau, TM
动机：我们的目标是开发一种归一化技术，其结果类似于循环黄土归一化，速度与分位数归一化相当。结果：Fastlo产生的归一化值类似于循环黄土和分位数归一化，而且速度快；它至少比循环黄土快一个数量级，接近分位数归一化速度。此外，Fastlo比循环黄土和分位数归一化都更通用，因为它是基于模型的。
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.