The Bootstrap in Supervised Learning and its Applications in Genomics/Proteomics
The small-sample size issue is a prevalent problem in Genomics and Proteomics today. Bootstrap, a resampling method which aims at increasing the efficiency of data usage, is considered to be an effort to overcome the problem of limited sample size. This dissertation studies the application of bootst...
| Main Author: | |
|---|---|
| Other Authors: | |
| Format: | Others |
| Language: | en_US |
| Published: |
2012
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/1969.1/ETD-TAMU-2011-05-9114 |