HDTD: analyzing multi-tissue gene expression data
نویسندگان
چکیده
منابع مشابه
HDTD: analyzing multi-tissue gene expression data
MOTIVATION By collecting multiple samples per subject, researchers can characterize intra-subject variation using physiologically relevant measurements such as gene expression profiling. This can yield important insights into fundamental biological questions ranging from cell type identity to tumour development. For each subject, the data measurements can be written as a matrix with the differe...
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Various user groups at the University of Leipzig use microarray technology (mainly from Affymetrix Inc.) for gene expression analysis in their research and are producing several hundreds of experiment a year. To manage the large amounts of data resulting from these experiments, a comprehensive database solution is necessary, in particular to store raw microarray data as well as derived data and...
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Real-time quantitative PCR (qRT-PCR) is one of the important methods for investigating the changes in mRNA expression levels in cells and tissues. Selection of the proper reference genes is very important when calibrating the results of real-time quantitative PCR. Studies on the selection of reference genes in goat tissues are limited, despite the economic importance of their meat and dairy pro...
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We have applied rule induction to a publicly available adenocarcinoma gene expression dataset. The typical approach to the analysis of gene expression data is to cluster the genes. However, interpreting the resulting clusters may be difficult. With rules, the interpretation is more obvious (e.g., (CDKN3 > 253) ==> (tumor-stage = 3)). We used HAMB, a discovery tool developed in our lab, to learn...
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MOTIVATION Time series expression experiments are an increasingly popular method for studying a wide range of biological systems. However, when analyzing these experiments researchers face many new computational challenges. Algorithms that are specifically designed for time series experiments are required so that we can take advantage of their unique features (such as the ability to infer causa...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2016
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/btw224