Missing value estimation for microarray data by bayesian principal component analysis and iterative local least squares
10.1155/2013/162938
Saved in:
Main Authors: | Shi, F, Zhang, D, Chen, J, Karimi, H.R |
---|---|
Other Authors: | ELECTRICAL AND COMPUTER ENGINEERING |
Format: | Article |
Published: |
2020
|
Subjects: | |
Online Access: | https://scholarbank.nus.edu.sg/handle/10635/180796 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Intelligent Diagnosis and Prognosis of Tool Wear Using Dominant Feature Identification
by: Zhou, J.-H., et al.
Published: (2014) -
E-plane symmetrical five-port waveguide junction with oversized central cavity
by: Qiao, L., et al.
Published: (2014) -
Dealing with missing values in DNA microarray
by: CAO YI
Published: (2011) -
A paradox in least-squares estimation of linear regression models
by: Bai, Z.D., et al.
Published: (2014) -
Systematic error modeling and bias estimation
by: Zhang, F, et al.
Published: (2020)