Introducing 'Data Science for Biomedical Research' mentor guided program commencing on Aug 16, 22

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, R and Python. Throughout the course, students will get an understanding of opportunities and limitations of machine learning in the context of basic pre-clinical and clinical research.

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 successes and limitations of conventional machine learning (ML) methods and deep learning (DL) using data from public repositories.

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Our channel is about bioinformatics and its application to various biomedical and biotechnology challenges. We cover lots of cool topics on data analysis, machine learning and various technologies that generate high-throughput data like genomics, transcriptomics, metagenomics, epigenomics and others.

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