Biomedical Data Science in R: The rapid growth of high-throughput data, including -omics technologies, gave rise to significant demand for data science skills and experience with bioinformatics methods of analysis. This online training program will cover practical and conceptual aspects of data science, including data wrangling, statistical analysis, and machine learning in application to high-throughput biomedical omics data using big data analysis tools on the T-BioInfo Platform. Throughout the course, students will get an understanding of the opportunities and limitations of machine learning in the context of basic pre-clinical and clinical research.
OmicsLogic programs are developed using project-based content that is enriched with multimedia content. These are divided into 5-10 minute modules with videos, quizzes and assignments that can be completed independently. All commonly used omics data types are explained from a biological and data analysis perspectives.
The training is designed as a combination of online resources, practical assignments, and live workshops that will be conducted via ZOOM. Throughout the course, we will review several project examples that demonstrate the successes and limitations of conventional machine learning (ML) methods and deep learning (DL) using data from public repositories. To learn more, we welcome you to review the information on this page and register for an upcoming webinar where the program topics will be introduced and questions about the training will be answered by our team.
Learn more and Register for the program: Biomedical Data Science in R (omicslogic.com)
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- Source: https://pine-biotech.com/biomedical-data-science-in-r/
