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Identifying differentially methylated genes using mixed effect and generalized least square models

Overview of attention for article published in BMC Bioinformatics, December 2009
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Citations

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Title
Identifying differentially methylated genes using mixed effect and generalized least square models
Published in
BMC Bioinformatics, December 2009
DOI 10.1186/1471-2105-10-404
Pubmed ID
Authors

Shuying Sun, Pearlly S Yan, Tim HM Huang, Shili Lin

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 5%
United States 1 5%
India 1 5%
Germany 1 5%
Unknown 17 81%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 38%
Professor > Associate Professor 3 14%
Student > Doctoral Student 2 10%
Student > Master 2 10%
Student > Ph. D. Student 2 10%
Other 3 14%
Unknown 1 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 48%
Mathematics 3 14%
Biochemistry, Genetics and Molecular Biology 2 10%
Computer Science 2 10%
Medicine and Dentistry 1 5%
Other 1 5%
Unknown 2 10%