Hybridization biases of microarray expression data - A model-based analysis of RNA quality and sequence effects

Hybridization biases of microarray expression data - A model-based analysis of RNA quality and sequence effects

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Modern high-throughput technologies like DNA microarrays are powerful tools that are widely used in biomedical research. They target a variety of genomics applications ranging from gene expression profiling over DNA genotyping to gene regulation studies. However, the recent discovery of false positi...

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Bibliographic Details
Main Author: Fasold, Mario
Other Authors: Universität Leipzig, Fakultät für Mathematik und Informatik
Format: Doctoral Thesis
Language:English
Published: Universitätsbibliothek Leipzig 2013
Subjects:
Bioinformatik
Microarray
microarray
hybridization
bioinformatics
ddc:500
Online Access:http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-116957
http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-116957
http://www.qucosa.de/fileadmin/data/qucosa/documents/11695/DissertationFasold2013_Pflichtexemplar.pdf

Internet

http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-116957
http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-116957
http://www.qucosa.de/fileadmin/data/qucosa/documents/11695/DissertationFasold2013_Pflichtexemplar.pdf

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