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Special Sessions

Special sessions are very small and specialized events to be held during the conference as a set of oral and poster presentations that are highly specialized in some particular theme or consisting of the works of some particular international project. The goal of special sessions (minimum 4 papers; maximum 9) is to provide a focused discussion on innovative topics. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on CD-ROM support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by Thomson Reuters Conference Proceedings Citation Index (ISI), INSPEC, DBLP, EI (Elsevier Engineering Village Index) and Scopus.


MLGED 2018Advances in Machine Learning Techniques Applied to Gene Expression Data (Cancelled)

Advances in Machine Learning Techniques Applied to Gene Expression Data - MLGED 2018



Paulo Eduardo Ambrosio
Universidade Estadual de Santa Cruz

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.