Protein sequences classification based on weighting scheme
We present a new technique to recognize remote protein homologies that rely on combining probabilistic modeling and supervised learning in high-dimensional feature spaces. The main novelty of our technique is the method of constructing feature vectors using Hidden Markov Model and the combination of...
Main Authors: | Zaki, N. M. (Author), Deris, Safaai (Author), Md Illias, Rosli (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Assumption University,
2005.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
Literature Survey Of Protein Secondary Structure Prediction
by: Vel Arjunan, Satya Nanda, et al.
Published: (2001) -
Penyelesaian Masalah Penjadualan Dinamik Dengan Menggunakan Pendekatan Taakulan Berasaskan Kes
by: Zakaria, Zalmiyah, et al.
Published: (2001) -
Formal specification of a wall-climbing robot using Z-A case study of small-scale embedded hard real-time system
by: Mohamad, Radziah, et al.
Published: (2001) -
A model for gene selection and classification of gene expression data
by: Mohamad, Mohd Saberi, et al.
Published: (2007) -
Expression of the Na+/H+ antiporter gene (g1-nhaC) of alkaliphilic bacillus sp. G1 in escherichia coli
by: Chong, Wai Liew, et al.
Published: (2007)