Rich probabilistic models for gene expression
نویسندگان
چکیده
منابع مشابه
Rich probabilistic models for gene expression
Clustering is commonly used for analyzing gene expression data. Despite their successes, clustering methods suffer from a number of limitations. First, these methods reveal similarities that exist over all of the measurements, while obscuring relationships that exist over only a subset of the data. Second, clustering methods cannot readily incorporate additional types of information, such as cl...
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Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Ali Faisal Name of the doctoral dissertation Retrieval of Gene Expression Measurements with Probabilistic Models Publisher School of Science Unit Department of Information and Computer Science Series Aalto University publication series DOCTORAL DISSERTATIONS 108/2014 Field of research Information and Computer Science Manuscrip...
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Preface Acknowledgements This work was carried out in the Computational Diagnostics group of the Department of Computational Molecular Biology at the Max Planck Institute for Molecular Genetics in Berlin. I thank all past and present colleagues for the good working atmosphere and the scientific—and sometimes maybe not so scientific—discussions. Especially, I am grateful to my supervisor Rainer ...
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Acknowledgements This dissertation would not have been possible without the help and support from many people to whom I am greatly indebted. First of all, I thank my advisor, Bud Mishra for his support, encouragement and collaboration. It is Bud who introduced me to the computational world, and guided me into the exciting interdisciplinary field of computational biology. He has taught me the va...
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Prediction of gene function is an important problem in the post-genome era. Traditionally, functions of unknown genes are inferred from two types of methods: one using the “guilt-byassociation” principle (e.g. [1]), and the other using features of the gene of interest (e.g. [2]). Both types of methods have shown certain success in the task. Here we aim to combine the two principles using one ri...
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ژورنال
عنوان ژورنال: Bioinformatics
سال: 2001
ISSN: 1367-4803,1460-2059
DOI: 10.1093/bioinformatics/17.suppl_1.s243