Add to ORKGthis paper, we formulate protein family classification as a formal language problem; subsequently we give an approach based on recurrent neural networks to classify protein sequence
In this work, we integrate a non-linear signal analysis method, recurrence quantification analysis (...
In this work, we integrate a non-linear signal analysis method, recurrence quantification analysis (...
Discovering new biological knowledge from the highthroughput biological data is a major challenge to...
A number of protein sequences are found and added to the database but its functional properties are ...
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...
Protein classification prediction is an important problem in molecular biology, and one that has att...
This chapter presents an overview on the application of neural networks (NN) in bioinformatics, spec...
Abstract: Protein sequences classification is an important problem in molecular biology, and it has ...
To classify proteins into functional families based on their primary sequences, existing classificat...
A protein super-family consists of proteins which share amino acid sequence homology and which may t...
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...
Abstract Background The classification of protein sequences using string algorithms provides valuab...
Abstract Background The classification of protein sequences using string algorithms provides val...
In this work, we integrate a non-linear signal analysis method, recurrence quantification analysis (...
In this work, we integrate a non-linear signal analysis method, recurrence quantification analysis (...
Discovering new biological knowledge from the highthroughput biological data is a major challenge to...
A number of protein sequences are found and added to the database but its functional properties are ...
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...
Protein classification prediction is an important problem in molecular biology, and one that has att...
This chapter presents an overview on the application of neural networks (NN) in bioinformatics, spec...
Abstract: Protein sequences classification is an important problem in molecular biology, and it has ...
To classify proteins into functional families based on their primary sequences, existing classificat...
A protein super-family consists of proteins which share amino acid sequence homology and which may t...
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...
Abstract Background The classification of protein sequences using string algorithms provides valuab...
Abstract Background The classification of protein sequences using string algorithms provides val...
In this work, we integrate a non-linear signal analysis method, recurrence quantification analysis (...
In this work, we integrate a non-linear signal analysis method, recurrence quantification analysis (...
Discovering new biological knowledge from the highthroughput biological data is a major challenge to...