Connectionists: 2nd CFP for the special issue of Computational and Mathematical Methods in Medicine

[Beatriz Remeseiro López]

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CALL FOR PAPERS
Machine learning in Bioinformatics and Biomedical Engineering
Special issue in Computational and Mathematical Methods in Medicine (open access, JCR-indexed)
http://www.hindawi.com/journals/cmmm/si/618503/cfp/

Machine learning is an Artificial Intelligence branch that has been well applied and recognized as an effective tool to handle a wide range of real situations. In the last few years, we have witnessed to the explosion of Big Data, which has enabled researchers to store data for analysis in an unprecedented way. This explosion in data available for analysis is as evident in healthcare as anywhere else.

In particular, this special issue is focused on the areas of bioinformatics and biomedical engineering. These are two of the fastest developing research fields in the last few decades, since the biological data used to provide information is rapidly generated, and is mandatory to be able to extract information and knowledge from them, as technological innovation in these fields are to be probably one of the most important developments in the next coming years.

Many research problems in the field, such as DNA microarray classification or the identification of candidate genes and nucleotides (SNPs) are computationally hard. Machine learning techniques have become an indispensable tool to discover new biomedical and bioinformatics insights, enabling unprecedented advances and yet embracing new emerging challenges with the advent of Big Data. Visualization will be undoubtedly  a challenge during this post-genomic era,  as researchers are trying to confront the difficulty of exploring and analyzing a huge amount of biological data as well as making it possible the  analysis and data mining by aiding recognition of patterns and trends.

In this special issue, we invite investigators to contribute with their recent advances addressing machine learning methods related to, or with application in, Bioinformatics and Biomedical Engineering, as well as review articles that will stimulate the continuing efforts to understand the problems usually encountered in this field.

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LIST OF TOPICS
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Topics of interest include, but are not limited to:

Clinical interpretation, diagnosis and prediction    
Feature selection and extraction         
Pattern recognition and classification
Dealing with unbalanced, non-static and/or cost-sensitive data
Image analysis and visualization
Microarray and SNPs analysis    
Ontologies, taxonomies  and semantic web
Intelligent sensorization
Data mining for knowledge discovery
Security, privacy and data integrity

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IMPORTANT DATES
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Manuscript due: September 23, 2016
First round of reviews: December 16, 2016
Publication date: February 10, 2017

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SUBMISSION
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Authors can submit their manuscripts via the Manuscript Tracking System at http://mts.hindawi.com/submit/journals/cmmm/raml/

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ORGANIZATION
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Guest Editors

Verónica Bolón-Canedo, Universidade da Coruña, Spain.
Beatriz Remeseiro, INESC TEC – INESC Technology and Science, Portugal.
Diego Álvarez-Estévez, Medisch Centrum Haaglanden and Bronovo-Nebo, The Netherlands.
Amparo Alonso-Betanzos, Universidade da Coruña, Spain.