Feature selection in bioinformatics
In bioinformatics, there are often a large number of input features. For example, there are millions of single nucleotide polymorphisms (SNPs) that are genetic variations which determine the dierence between any two unrelated individuals. In microarrays, thousands of genes can be proled in each test...
Saved in:
Main Author: | Wang, Lipo. |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/84511 http://hdl.handle.net/10220/10071 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Innovative feature selection methods for bioinformatics
by: Yan, Lin
Published: (2012) -
The automatic classfication of temporomandibular joint (TMJ) sounds using features in the time-frequency domain
by: Ang, Beng Keong
Published: (2008) -
Investigation of depth selective Raman spectroscopy.
by: Tan, Shi Ying
Published: (2012) -
Development of scaffolds for tissue engineering using selective laser sintering
by: Tan, Kwang Hui.
Published: (2011) -
Design and development of drug delivery devices using selective laser sintering
by: Gui, Wee Siong.
Published: (2008)