Exploiting physico-chemical properties in string kernels
<p>Abstract</p> <p>Background</p> <p>String kernels are commonly used for the classification of biological sequences, nucleotide as well as amino acid sequences. Although string kernels are already very powerful, when it comes to amino acids they have a major short comi...
Main Authors: | Kohlbacher Oliver, Widmer Christian, Toussaint Nora C, Rätsch Gunnar |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2010-10-01
|
Series: | BMC Bioinformatics |
Online Access: | http://www.biomedcentral.com/1471-2105/11/S8/S7 |
Similar Items
-
Inferring latent task structure for Multitask Learning by Multiple Kernel Learning
by: Altun Yasemin, et al.
Published: (2010-10-01) -
KIRMES: kernel-based identification of regulatory modules in euchromatic sequences
by: Lohmann Jan, et al.
Published: (2009-10-01) -
Microalgae flocculation and sedimentation by physico-chemical property exploitation
by: Dicks, Reay Gary
Published: (2014) -
POPISK: T-cell reactivity prediction using support vector machines and string kernels
by: Tung Chun-Wei, et al.
Published: (2011-11-01) -
String to String Correction Kernelization
by: Watt, Nathaniel
Published: (2013)