EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments
نویسندگان
چکیده
منابع مشابه
EBSeq: an empirical Bayes hierarchical model for inference in RNA-seq experiments
MOTIVATION Messenger RNA expression is important in normal development and differentiation, as well as in manifestation of disease. RNA-seq experiments allow for the identification of differentially expressed (DE) genes and their corresponding isoforms on a genome-wide scale. However, statistical methods are required to ensure that accurate identifications are made. A number of methods exist fo...
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چکیده ندارد.
15 صفحه اولEBSeq-HMM: a Bayesian approach for identifying gene-expression changes in ordered RNA-seq experiments
MOTIVATION With improvements in next-generation sequencing technologies and reductions in price, ordered RNA-seq experiments are becoming common. Of primary interest in these experiments is identifying genes that are changing over time or space, for example, and then characterizing the specific expression changes. A number of robust statistical methods are available to identify genes showing di...
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A two-factor experiment with interaction between factors wherein observations follow an Inverse Gaussian model is considered. Analysis of the experiment is approached via an empirical Bayes procedure. The conjugate family of prior distributions is considered. Bayes and empirical Bayes estimators are derived. Application of the procedure is illustrated on a data set, which has previously been an...
متن کاملSequence analysis EBSeq-HMM: a Bayesian approach for identifying gene-expression changes in ordered RNA-seq experiments
Motivation: With improvements in next-generation sequencing technologies and reductions in price, ordered RNA-seq experiments are becoming common. Of primary interest in these experiments is identifying genes that are changing over time or space, for example, and then characterizing the specific expression changes. A number of robust statistical methods are available to identify genes showing d...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2013
ISSN: 1460-2059,1367-4803
DOI: 10.1093/bioinformatics/btt087