Reno: regularized non-parametric analysis of protein lysate array data
Author(s) -
Bin Li,
Feng Liang,
Jianhua Hu,
and Xuming He
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts131
Subject(s) - nonparametric statistics , parametric statistics , computer science , sample (material) , algorithm , statistics , data mining , mathematics , chromatography , chemistry
The reverse-phase protein lysate arrays have been used to quantify the relative expression levels of a protein in a number of cellular samples simultaneously. To avoid quantification bias due to mis-specification of commonly used parametric models, a nonparametric approach based on monotone response curves may be used. The existing methods, however, aggregate the protein concentration levels of replicates of each sample, and therefore fail to account for within-sample variability.
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