qvality: non-parametric estimation of q-values and posterior error probabilities
نویسندگان
چکیده
منابع مشابه
Genome analysis QVALITY: non-parametric estimation of q-values and posterior error probabilities
Summary: Qvality is a C++ program for estimating two types of standard statistical confidence measures: the q-value, which is an analog of the p-value that incorporates multiple testing correction, and the posterior error probability (PEP, also known as the local false discovery rate), which corresponds to the probability that a given observation is drawn from the null distribution. In computin...
متن کاملqvality: non-parametric estimation of q-values and posterior error probabilities
UNLABELLED Qvality is a C++ program for estimating two types of standard statistical confidence measures: the q-value, which is an analog of the p-value that incorporates multiple testing correction, and the posterior error probability (PEP, also known as the local false discovery rate), which corresponds to the probability that a given observation is drawn from the null distribution. In comput...
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MOTIVATION A mass spectrum produced via tandem mass spectrometry can be tentatively matched to a peptide sequence via database search. Here, we address the problem of assigning a posterior error probability (PEP) to a given peptide-spectrum match (PSM). This problem is considerably more dif.cult than the related problem of estimating the error rate associated with a large collection of PSMs. Ex...
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Equivalence testing is of emerging importance in genomics studies but has hitherto been little studied in this content. In this paper, we define the notion of equivalence of gene expression and determine a ‘strength of evidence’ measure for gene equivalence. It is common practice in genome-wide studies to rank genes according to observed gene-specific P -values or adjusted P -values, which are ...
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Confusion surrounding the reporting and interpretation of results of classical statistical tests is widespread among applied researchers. The confusion stems from the fact that most of these researchers are unaware of the historical development of classical statistical testing methods, and the mathematical and philosophical principles underlying them. Moreover, researchers erroneously believe t...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2009
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btp021