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Image processing of affymetrix microarrays.
In: (Microarray Image and Data Analysis: Theory and Practice). 2014. 227-253
One of the purposes of several statistical techniques is to reduce random noise and improve the quality of the data. In microarray experiments random noise can introduce errors that affect gene expression measurements and obscure the interesting biological variation. In recent years, several authors have described common techniques to minimize the effects of systematic variation incorporated into microarray data at different stages of the manufacturing process (see for example [3] and [4]). There is though a particular step in the microarray data analysis workflow that is and that be performed the image of raw data.
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Publication type
Article: Conference contribution
Language
english
Publication Year
2014
HGF-reported in Year
2014
ISSN (print) / ISBN
9781466586871
Conference Title
Microarray Image and Data Analysis: Theory and Practice
Quellenangaben
Pages: 227-253
POF-Topic(s)
30202 - Environmental Health
Research field(s)
Environmental Sciences
PSP Element(s)
G-504500-001
Scopus ID
85055191963
Erfassungsdatum
2018-10-31