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Cancer Informatics: Special Collection on Cancer Biomarkers, Genomics, Proteomics, and Metabolomics Analysis

Posted Tue, May, 16,2017

Cancer Informatics is now accepting papers for a Special Collection on Cancer Biomarkers, Genomics, Proteomics, and Metabolomics Analysis

Please submit by October 1, 2017 to be considered.

Enter promo code CIN-43 on Step 2 of the submission process to flag your submission for this Special Collection.

Submit your article online >>

Overview:

Complex traits are conjectured to originate through frequent, iterative interactions between a large number of genetic and environmental factors, with each factor contributing relatively little to the final outcome. In this setting, developing a data-driven model of a complex trait requires advanced data analytics that account for the effect of many genetic and environmental factors, and their interactions.

Signal processing techniques have proven to be very effective in processing, extracting, and interpreting information in signals. In the past few decades, these techniques have found widespread applications such as signal (and image) compression, radar and sonar signal processing, filtering, smoothing, and prediction. Treating genomic sequences as spatial-varying digital signals paves the way for applications of signal processing techniques in genomics, thereby leading to new insights on the complex pattern of dependencies underpinning complex traits. This Special Collection aims to foster applications of signal processing and data analytics methods in genomics. These techniques include, but are not limited to:

  • Joint time-frequency analysis
  • Spectral estimation
  • Sequence decomposition
  • Source separation
  • Compressed sensing
  • Filtering
  • Pattern recognition

Guest Editor Information: 

Amin Zollanvari, Department of Electrical and Computer Engineering, Nazarbayev University

Email: zollanvari@gmail.com

 

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