CV Lattes
Universidade Federal de São Carlos (UFSCAR). Centro de Ciências Exatas e de Tecnologia (CCET) (Institutional affiliation from the last research proposal) Birthplace: Brazil
Undergraduate student in Computer Engineering in the Federal University of São Carlos (UFSCar), São Carlos campus. Research in the Bioinformatics filed of study to construct a classifier to predict the protein subcellular localization. Has experience in Computer Science, focusing on Machine Learning and Bioinformatics. Main fields of study: Artificial Intelligence, Bioinformatics, Supervised and Semi-Supervised machine learning. (Source: Lattes Curriculum)
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Protein subcellular localization is a really important classification task, because the location of proteins inside a cell is directly related to these protein's functions. As there are a lot of proteins that resides at the same time in two or more locations in a cell or move between locations, this can be an arduous task. In Machine Learning, this kind of classification task is named mul…
Protein subcellular localization is a really important classification task, because the location of proteins inside a cell is directly related to these protein's functions. As there are a lot of proteins that reside at the same time in two or more locations in a cell or move between locations, usually supervised multi-label classification (MLC) methods are designed to attack this problem.…
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