Search results for: J. C. Rajapakse

Items from 1 to 7 out of 7 results

chapter

Pattern Recognition in Bioinformatics: An Introduction

J. C. Rajapakse, L. Wong, R. Acharya

Lecture Notes in Computer Science > Pattern Recognition in Bioinformatics > Pattern Recognition in Bioinformatics: An Introduction > 1-3

The information stored in DNA, a chain of four nucleotides (A, T, G, and C), is first converted to mRNA through the process of transcription and then converted to the functional form of life, proteins, through the process of translation. Only about 5% of the genome contains useful patterns of nucleotides, or genes, that code for proteins. The initiation of translation or transcription process is determined...

article

Toward Better Understanding of Protein Secondary Structure: Extracting Prediction Rules

Minh N Nguyen, J M Zurada, J C Rajapakse

IEEE/ACM Transactions on Computational Biology and Bioinformatics > 2011 > 8 > 3 > 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 prediction model and the underlying biology. In addition, they enhance interpretability of PSS prediction by providing a degree of transparency to the...

chapter

ListMotif: A time and memory efficient algorithm for weak motif discovery

He Quan Sun, Malcolm Yoke Hean Low, Wen Jing Hsu, J C Rajapakse

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering > 254 - 260

2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2010)

Weak motif discovery is a fundamental problem in computational biology. It is difficult to solve because the number of mismatches between the true motif and its mutated instances is so large that the spurious signals may disguise the true ones. While many algorithms have been proposed to solve this problem, they either require a large amount of memory or consume too much time. In this paper, a sample-driven...

chapter

Complex ICA-R

J C Rajapakse, W Chen

The 2010 International Joint Conference on Neural Networks (IJCNN) > 1 - 8

2010 International Joint Conference on Neural Networks (IJCNN 2010)

The Complex Independent Component Analysis (CICA) which extends Independent Component Analysis (ICA) to complex signals has found applications in various fields. The ICA with Reference (ICA-R) has recently gained popularity in semi-blind separation of signals when a priori information of the desired sources are available in the form of reference signals. This paper extends the framework of ICA-R to...

chapter

Gene regulatory networks with variable-order dynamic Bayesian networks

J C Rajapakse, I Chaturvedi

The 2010 International Joint Conference on Neural Networks (IJCNN) > 1 - 5

2010 International Joint Conference on Neural Networks (IJCNN 2010)

We introduce a probabilistic framework for building higher-order gene regulatory networks, which automatically finds the delays of regulatory interactions. A variable-order Markov chain Monte Carlo method with a new acceptance mechanism is proposed to find the optimal order and the structure of a dynamic Bayesian network (DBN). Experiments on cell cycle expression data indicate that the variable-order...

article

NURBS-based visualization of age-related diversity in cortical morphology

R. G. N. Meegama, J. C. Rajapakse

Journal of Visualization > 2006 > 9 > 1 > 9-11

article

Input encoding method for identifying transcription start sites in RNA polymerase II promoters by neural networks

L. S. Ho, J. C. Rajapakse

Soft Computing > 2006 > 10 > 4 > 331-337

We present a novel approach to encode inputs to neural networks for the recognition of transcription start sites in RNA polymerase II promoter regions. The approach is based on Markov models that represent TATA-box and Inr transcription binding sites, characterizing a promoter. The Markovian parameters are used as inputs to three neural networks which learn potential distant relationships between...

Filter options

Publication date

Set your own date range

INFONA - science communication portal

Search results for: J. C. Rajapakse

Pattern Recognition in Bioinformatics: An Introduction

Toward Better Understanding of Protein Secondary Structure: Extracting Prediction Rules

ListMotif: A time and memory efficient algorithm for weak motif discovery

Complex ICA-R

Gene regulatory networks with variable-order dynamic Bayesian networks

NURBS-based visualization of age-related diversity in cortical morphology

Input encoding method for identifying transcription start sites in RNA polymerase II promoters by neural networks

Add recipient

Sending message cancelled

Are you sure you want to cancel sending this message?

Send message

Filter options

Publication date

Date range setting

Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.

Publication type

Keywords

Data set

Journal

Reporting an error / abuse

Sending the report failed

Accessibility options