| INTRODUCTION TO MACHINE LEARNING WITH R | |
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Virtual Event |
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| Hosted by: | Physalia-courses |
| Venue: | Online |
| Dates: | Feb 17, 2025 through Feb 20, 2025 |
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Description |
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| The use of modern quantitative technologies to characterise complex phenomena represents the standard approach in almost every research domain. Biology makes no exception and the use of multi-omics techniques (metabolomics, transcriptomics, genomics and proteomics) is pervasive in every facet of life sciences. The resulting multivariate datasets are highly complex and advanced data analysis approaches need to be applied to optimize the use of the available information. For relatively large-scale studies, machine learning (ML) represents a valid tool to complement classical multivariate statistical methods. The objective of this course is to highlight the advantages and limitations of these data analysis approaches in the context of biological research, providing a broad hands-on introduction to the use of multivariate methods and machine learning algorithms for the analysis of ‘omics datasets. The syllabus has been planned for people who need an intuitive starter on the basic knowledge of theoretical and applied machine learning. Students are preferred -but not required- to have a foundational understanding of statistics and the R programming language. |
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| Additional Information | |
| Event URL: | https://www.physalia-courses.org/courses-workshops/course43/ |
| ISCB Member Discount: | None |
| Contact Person: | Dr. Carlo Pecoraro ([javascript protected email address]) |
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