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This project is about the analysis of bioinformatics data, and it has been realised for during my master's thesis writing.
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- ## Title: Machine Learning and Deep Learning: an application to bioinformatics
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+ ## ( Title) Machine Learning and Deep Learning: an application in bioinformatics
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+ ### Abstract:
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In the big data era, to transform biomedical data in useful knowledge is one of the most important challenges in bioinformatics.
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In order to understand the structure of a cell and its functioning, the valuable information needed concerns the amount of mRNA
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produced by each gene of the cells DNA (also referred to as gene expression). Thanks to microarray technologies it is possible to
@@ -43,3 +44,6 @@ Finally, the results of the Machine Learning and the Deep Learning approaches ar
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about some possible alternatives to optimize the computational effort is dealt with, the entire analysis is repeated using the CINECA’s
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supercomputer MARCONI and exploiting the advantages Graphics Processing Unit (GPU) parallel computing instead of the classical
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multithreading parallelism.
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+ ### Maintainer
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+ Antonio Macaluso
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