This chapter presents an overview on the application of neural networks (NN) in bioinformatics, specifically in the classification of protein family/superfamily. Protein classification is important for both biological data analysis and knowledge discovery. NN has been one of the most widely used methods for protein classification. In this paper, detailed discussion of protein classification processes using NN is presented with emphasis on the various protein sequences feature extraction and neural classifier design. Some other related issues and future challenges are discussed at the end of the chapter
A number of protein sequences are found and added to the database but its functional properties are ...
Abstract:- The classification of protein structures is essential for their function determination in...
this paper, we formulate protein family classification as a formal language problem; subsequently we...
Traditionally, two protein sequences are classified into the same class if their feature patterns h...
A protein super-family consists of proteins which share amino acid sequence homology and which may t...
Classification, or supervised learning, is one of the major data mining processes. Pattern recogniti...
We present a system for multi-class protein classification based on neural networks. The basic issue...
We present a system for multi-class protein classification based on neural networks. The basic issue...
The objective of genomic sequence analysis is to retrieve important information from the vast amount...
The objective of genomic sequence analysis is to retrieve important information from the vast amount...
Accurately identifying functional sites in proteins is one of the most important topics in bioinform...
Protein sequences are composed of 20 amino acids . The twenty amino acid letters are: A, C, D, E, F,...
Protein classification prediction is an important problem in molecular biology, and one that has att...
Abstract: Protein sequences classification is an important problem in molecular biology, and it has ...
There are so many existing classification methods from diverse fields including statistics, machine ...
A number of protein sequences are found and added to the database but its functional properties are ...
Abstract:- The classification of protein structures is essential for their function determination in...
this paper, we formulate protein family classification as a formal language problem; subsequently we...
Traditionally, two protein sequences are classified into the same class if their feature patterns h...
A protein super-family consists of proteins which share amino acid sequence homology and which may t...
Classification, or supervised learning, is one of the major data mining processes. Pattern recogniti...
We present a system for multi-class protein classification based on neural networks. The basic issue...
We present a system for multi-class protein classification based on neural networks. The basic issue...
The objective of genomic sequence analysis is to retrieve important information from the vast amount...
The objective of genomic sequence analysis is to retrieve important information from the vast amount...
Accurately identifying functional sites in proteins is one of the most important topics in bioinform...
Protein sequences are composed of 20 amino acids . The twenty amino acid letters are: A, C, D, E, F,...
Protein classification prediction is an important problem in molecular biology, and one that has att...
Abstract: Protein sequences classification is an important problem in molecular biology, and it has ...
There are so many existing classification methods from diverse fields including statistics, machine ...
A number of protein sequences are found and added to the database but its functional properties are ...
Abstract:- The classification of protein structures is essential for their function determination in...
this paper, we formulate protein family classification as a formal language problem; subsequently we...