Special Session
Advances in Machine Learning Techniques Applied to Gene Expression Data -
MLGED
2018
19 - 21 January, 2018 - Funchal, Madeira, Portugal
Within the 9th International Conference on Bioinformatics Models, Methods and Algorithms - BIOINFORMATICS 2018
* CANCELLED *
CHAIR
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Paulo E Ambrosio
Universidade Estadual de Santa Cruz
Brazil
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Brief Bio
Paulo Eduardo Ambrosio is a Doctor in Medical Sciences. His research interests are Computational Biology and Pattern Recognition.
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SCOPE
Gene expression is a measurement of expression levels of various genes at once, with the intent to discover his function. One way to analyze this expression data is through clustering techniques, which aim to group genes of similar expression tendencies together. The current big problem in this research area is the huge amount of data that needs to be processed simultaneously, which require the development of new techniques and algorithms, principally on machine learning advances. This special session aims to show recent advances in the area, presenting new techniques of processing, automated analysis and pattern classification. It also intends to be a forum for sharing experiences between specialists, researchers and beginners in the area, presenting and discussing relevant ideas.
TOPICS:
- Clustering algorithms;
- Biclustering algorithms;
- Automated gene expression analysis;
- Deep learning applied to genetic data;
- New machine learning techniques.
IMPORTANT DATES
Paper Submission:
November 7, 2017 (expired)
Authors Notification:
November 21, 2017 (expired)
Camera Ready and Registration:
November 29, 2017 (expired)
SPECIAL SESSION PROGRAM COMMITTEE
Jessica Carballido,
Universidad Nacional del Sur, Argentina
Miguel Rocha,
University of Minho, Portugal
Priscila Saito,
Universidade Tecnológica Federal do Paraná, Brazil
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (CPCI/ISI), DBLP, EI (Elsevier Engineering Village Index), Scopus, Google Scholar, Semantic Scholar, and Microsoft Academic.
SCITEPRESS is a member of CrossRef (http://www.crossref.org/) and every paper is given a DOI (Digital Object Identifier).
All papers presented at the conference venue will be available at the SCITEPRESS Digital Library