Dynamic modeling of gene expression data
نویسندگان
چکیده
منابع مشابه
Title: Dynamic Modeling of Gene Expression Data
We describe the time evolution of gene expression levels by using a time translational matrix to predict future expression levels of genes based on their expression levels at some initial time. We deduce the time translational matrix for previously published DNA microarray gene expression data sets by modeling them within a linear framework using the characteristic modes obtained by singular va...
متن کاملDynamic modeling of gene expression data.
We describe the time evolution of gene expression levels by using a time translational matrix to predict future expression levels of genes based on their expression levels at some initial time. We deduce the time translational matrix for previously published DNA microarray gene expression data sets by modeling them within a linear framework by using the characteristic modes obtained by singular...
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About 28% of genes appear to have an expression pattern that follows a mixture distribution. We use first- and second-order partial correlation coefficients to identify trios and quartets of non-sex-linked genes that are highly associated and that are also mixtures. We identified 18 trio and 35 quartet mixtures and evaluated their mixture distribution concordance. Concordance was defined as the...
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ژورنال
عنوان ژورنال: Proceedings of the National Academy of Sciences
سال: 2001
ISSN: 0027-8424,1091-6490
DOI: 10.1073/pnas.98.4.1693