DocumentCode :
3703430
Title :
Statistical analysis of fractionation resistance by functional category and expression level
Author :
Eric C Chen;Annie Morin;Jean-Hugues Chauchat;David Sankoff
Author_Institution :
Department of Biology, University of Ottawa, Canada K1N 6N5
fYear :
2015
Firstpage :
1
Lastpage :
1
Abstract :
In Table I, the effect size, measured in partial eta squared, supports the conjecture in the Chen et al. paper [5] that functional category carries more weight in determining retention rates than expression levels. Our results also suggest that the effect on duplicate gene retention fractionation by functional category and expression are independent and have no interaction. At least in plants, functional category appears to be the more dominant factor.
Keywords :
"Fractionation","Bioinformatics","Genomics","Electronic mail","Analysis of variance","Gene expression","Evolution (biology)"
Publisher :
ieee
Conference_Titel :
Computational Advances in Bio and Medical Sciences (ICCABS), 2015 IEEE 5th International Conference on
Type :
conf
DOI :
10.1109/ICCABS.2015.7344705
Filename :
7344705
Link To Document :
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