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Sensitivity Analysis of Granularity Levels in Complex Biological Networks
The influx of biomedical measurement technologies continues to define a rapidly changing and growing landscape, multi-modal and uncertain in nature. Expand
EXAMINE: a computational approach to reconstructing gene regulatory networks.
We address these problems by developing an improved method, EXpression Array MINing Engine (EXAMINE), to infer gene regulatory networks from time-series gene expression data sets. Expand
Computational Approach Involving Use of the Internal Transcribed Spacer 1 Region for Identification of Mycobacterium Species
ABSTRACT The rapid and reliable identification of clinically significant Mycobacterium species is a challenge for diagnostic laboratories. This study evaluates a unique sequence-dependentExpand
Cross-platform Analysis of Cancer Biomarkers: A Bayesian Network Approach to Incorporating Mass Spectrometry and Microarray Data
In this paper we use multiple data sets from microarrays, mass spectrometry, protein sequences, and other biological knowledge in order to improve the reliability of cancer biomarkers. Expand
Identifying aging-related genes in mouse hippocampus using gateway nodes
We propose a network model that examines temporal data from mouse hippocampus at the transcriptional level via correlation of gene expression. Expand
A new clustering algorithm using message passing and its applications in analyzing microarray data
In this paper, we proposed a new clustering algorithm that employs the concept of message passing to describe parallel and spontaneous biological processes. Expand
On Mining Biological Signals Using Correlation Networks
Correlation networks have been used in biological networks to analyze and model high-throughput biological data, such as gene expression from micro array or RNA-seq assays. Expand
A dynamic energy-aware model for scheduling computationally intensive bioinformatics applications
In this paper, we provide a dynamic model for energy aware scheduling (EAS) in a HPC environment based on a 2-step approach. Expand
On Identifying and Analyzing Significant Nodes in Protein-Protein Interaction Networks
We propose that a node of structural importance in a network model can correspond to a biologically vital or significant property. Expand
A new approach for gene annotation using unambiguous sequence joining
We provide a detailed description of a new cDNA/DNA homology gene annotation algorithm that combines the results of BLASTN searches and spliced alignments. Expand