Assignment of protein sequence to functional family using neural network & Dempster-Shafer theory
Protein classification prediction is an important problem in molecular biology, and one that has attracted a lot of attention. This paper describes an approach to data-driven discovery of sequence motif-based models using neural network classifier based on Dempster-Shafer Theory for assigning protei...
Saved in:
Main Authors: | Zaki, N. M., Deris, Safaai, Nanda, S. |
---|---|
Format: | Article |
Published: |
Elsevier Ltd.
2003
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/7235/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory
by: Vel Arjunan, Satya Nanda
Published: (2003) -
A hybrid artificial neural network with dempster-shafer theory for automated bearing fault diagnosis
by: Hui, Kar Hoou, et al.
Published: (2016) -
A hybrid artificial neural network with dempster-shafer theory for automated bearing fault diagnosis
by: Hui, K. H., et al.
Published: (2016) -
Dempster-shafer evidence theory for multi-bearing faults diagnosis
by: Kar, Hoou Hui, et al.
Published: (2017) -
Dempster-Shafer evidence theory for automated bearing fault diagnosis
by: Hui, K. H., et al.
Published: (2017)