A hybrid framework for genome wide epistasis discovery
10.1109/IEMBS.2011.6091599
Saved in:
Main Authors: | Tan, Z., Zhang, Z., Liu, J., Kwoh, C.K., Ong, S.H., Teo, Y.Y., Khor, C.C., Tai, E.S., Aung, T., Vithana, E., Wong, T.Y. |
---|---|
Other Authors: | CENTRE FOR MOLECULAR EPIDEMIOLOGY |
Format: | Conference or Workshop Item |
Published: |
2014
|
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/83358 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
eCEO: An efficient cloud epistasis computing model in genome-wide association study
by: Wang, Z., et al.
Published: (2013) -
Efficient Computational Techniques for Tag SNP Selection, Epistasis Analysis, and Genome-wide Association Study
by: WANG YUE
Published: (2013) -
Interacting networks of resistance, virulence and core machinery genes identified by genome-wide epistasis analysis
by: Marcin J. Skwark, et al.
Published: (2018) -
Estimating the number of true discoveries in genome-wide association studies
by: Lee, W., et al.
Published: (2014) -
An omnibus permutation test on ensembles of two-locus analyses can detect pure epistasis and genetic heterogeneity in genome-wide association studies
by: Damrongrit Setsirichok, et al.
Published: (2018)