A Bayesian hierarchical model for analyzing methylated RNA immunoprecipitation sequencing data
نویسندگان
چکیده
منابع مشابه
HIERARCHICAL DATA CLUSTERING MODEL FOR ANALYZING PASSENGERS’ TRIP IN HIGHWAYS
One of the most important issues in urban planning is developing sustainable public transportation. The basic condition for this purpose is analyzing current condition especially based on data. Data mining is a set of new techniques that are beyond statistical data analyzing. Clustering techniques is a subset of it that one of it’s techniques used for analyzing passengers’ trip. The result of...
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متن کاملMethylated DNA immunoprecipitation.
The identification of DNA methylation patterns is a common procedure in the study of epigenetics, as methylation is known to have significant effects on gene expression, and is involved with normal development as well as disease. Thus, the ability to discriminate between methylated DNA and non-methylated DNA is essential for generating methylation profiles for such studies. Methylated DNA immun...
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ژورنال
عنوان ژورنال: Quantitative Biology
سال: 2018
ISSN: 2095-4689,2095-4697
DOI: 10.1007/s40484-018-0149-2