Computational Modeling and Analysis of Microarray Data: New Horizons

A special issue of BioTech (ISSN 2673-6284).

Deadline for manuscript submissions: closed (31 August 2015) | Viewed by 200

Special Issue Information

Dear Colleague,

Microarray datasets are large and demand sophisticated handling and high precision analysis. This Special Issue will be concerned, therefore, with the range of computational modeling and analytical techniques used to extract information from these technologies, as well as new directions in their development and use. Topics on which submissions are invited include, but are not limited to: Data mining/pre-processing; pattern recognition, cluster analysis and validation; modeling uncertainty and identifying outliers in data; multivariate and non-standard statistical techniques; integrated data analysis, together with reconciliation of data types-evaluation and comparison; genome-wide analyses; gene expression and model-based analysis; serial, co-expression and enrichment analysis; computational algorithms, heuristics and novel tools in microarray modeling and analysis, including genetic, evolutionary, clustering/segmentation, E-M and parallel methods inter alia; network-based approaches and GRNs, including time-conditioned data and dynamic networks; visualization and interpretation of microarray expression data.

Prof. Heather J. Ruskin
Guest Editor

Manuscript Submission Information

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Keywords

  • pattern recognition
  • model-based analysis
  • data integration and comparison
  • evolutionary algorithms
  • genetic regulatory networks
  • network analysis
  • time-conditioned microarray analysis
  • visualization

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Published Papers

There is no accepted submissions to this special issue at this moment.
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