Collection
Advanced Signal Processing Techniques for Bioinformatics
"The development of advanced high-throughput technologies such as genome sequencing and whole genome expression analysis creates new opportunities and poses new
challenges for the signal processing community. Analysis of
data for life-science problems provides an interesting application domain for standard signal processing methods such
as time series detection and prediction, casual modeling, and
structure inference. At the same time, this increasingly important life-science domain draws the need for novel and
computationally efficient analysis approaches. The goal of
this special issue is to present the applications of cutting-edge
signal processing methods to bioinformatics."
Editors
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Xue-Wen Chen, Sun Kim, Vladimir Pavlović & David P. Casasent
"Xue-Wen Chen - University of Kansas, USA Sun Kim - Indiana University, USA Vladimir Pavlović - Rutgers University, USA David P. Casasent - Carnegie Mellon University, USA"
Articles (12 in this collection)
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Rigid Molecule Docking: FPGA Reconfiguration for Alternative Force Laws
Authors (first, second and last of 4)
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Towards Inferring Protein Interactions: Challenges and Solutions
Authors (first, second and last of 4)
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Recovery and Visualization of 3D Structure of Chromosomes from Tomographic Reconstruction Images
Authors (first, second and last of 4)
