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Editors: Francisco Ortuño, Ignacio Rojas

Chapter, Identification of Biologically Significant Elements Using Correlation Networks in High Performance Computing Environments, co-authored by Kathryn Dempsey Cooper, Sachin Pawaskar, and Hesham Ali, UNO faculty members.

The two volume set LNCS 9043 and 9044 constitutes the refereed proceedings of the Third International Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2015, held in Granada, Spain in April 2015. The 134 papers presented were carefully reviewed and selected from 268 submissions. The scope of the conference spans the following areas: bioinformatics for healthcare and diseases, biomedical engineering, biomedical image analysis, biomedical signal analysis, computational genomics, computational proteomics, computational systems for modelling biological processes, eHealth, next generation sequencing and sequence analysis, quantitative and systems pharmacology, Hidden Markov Model (HMM) for biological sequence modeling, advances in computational intelligence for bioinformatics and biomedicine, tools for next generation sequencing data analysis, dynamics networks in system medicine, interdisciplinary puzzles of measurements in biological systems, biological networks, high performance computing in bioinformatics, computational biology and computational chemistry, advances in drug discovery and ambient intelligence for bio emotional computing.

ISBN

978-3319164793

Publication Date

2015

Publisher

Springer

City

New York, NY

Department

Computer Science

Comments

Part of the Lecture Notes in Computer Science series.

Cooper, K. D., Pawaskar, S., & Ali, H. H. (2015, April). Identification of Biologically Significant Elements Using Correlation Networks in High Performance Computing Environments. In International Conference on Bioinformatics and Biomedical Engineering (pp. 607-619). New York, NY: Springer International Publishing.

<i>Bioinformatics and Biomedical Engineering</i>


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