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Guest Editors? Introduction to the Special Section: Computational Intelligence Approaches in Computational Biology and Bioinformatics
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Jagath C. Rajapakse, Yan-Qing Zhang, Gary B. Fogel
Issue Date:April 2007
pp. 161-162
No summary available.
 
Multiclass Gene Selection Using Pareto-Fronts
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Jagath C. Rajapakse,Piyushkumar A. Mundra
Issue Date:January 2013
pp. 87-97
Filter methods are often used for selection of genes in multiclass sample classification by using microarray data. Such techniques usually tend to bias toward a few classes that are easily distinguishable from other classes due to imbalances of strong feat...
 
Gene Classification Using Codon Usage and Support Vector Machines
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Jianmin Ma, Minh N. Nguyen, Jagath C. Rajapakse
Issue Date:January 2009
pp. 134-143
Abstract-- A novel approach for gene classification, which adopts codon usage bias as input feature vector for classification by support vector machines (SVM) is proposed. The DNA sequence is first converted to a 59-dimensional feature vector where each el...
 
Markov Encoding for Detecting Signals in Genomic Sequences
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Jagath C. Rajapakse, Loi Sy Ho
Issue Date:April 2005
pp. 131-142
<p><b>Abstract</b>—We present a technique to encode the inputs to neural networks for the detection of signals in genomic sequences. The encoding is based on lower-order Markov models which incorporate known biological characteristics in ...
 
Toward Better Understanding of Protein Secondary Structure: Extracting Prediction Rules
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics
By Minh N. Nguyen, Jacek M. Zurada, Jagath C. Rajapakse
Issue Date:May 2011
pp. 858-864
Although numerous computational techniques have been applied to predict protein secondary structure (PSS), only limited studies have dealt with discovery of logic rules underlying the prediction itself. Such rules offer interesting links between the predic...
 
Multiclass Gene Selection Using Pareto-Fronts
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Jagath C. Rajapakse, Piyushkumar A. Mundra
Issue Date:January 2013
pp. 87-97
Filter methods are often used for selection of genes in multiclass sample classification by using microarray data. Such techniques usually tend to bias toward a few classes that are easily distinguishable from other classes due to imbalances of strong feat...
     
Gene Classification Using Codon Usage and Support Vector Machines
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Jagath C. Rajapakse, Jianmin Ma, Minh N. Nguyen
Issue Date:January 2009
pp. 134-143
Abstract-- A novel approach for gene classification, which adopts codon usage bias as input feature vector for classification by support vector machines (SVM) is proposed. The DNA sequence is first converted to a 59-dimensional feature vector where each el...
     
Markov Encoding for Detecting Signals in Genomic Sequences
Found in: IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
By Jagath C. Rajapakse, Loi Sy Ho
Issue Date:April 2005
pp. 131-142
We present a technique to encode the inputs to neural networks for the detection of signals in genomic sequences. The encoding is based on lower-order Markov models which incorporate known biological characteristics in genomic sequences. The neural network...
     
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