Abstract
This paper provides a brief introduction to high-dimensional data as it arises in biopharmaceutical research, especially genomics , and offers an overview of several data analysis concepts and techniques that could be used to explore and analyze such data. An example is used to illustrate the methods.
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Amaratunga, D., Cabrera, J. (2018). High-Dimensional Data in Genomics. In: Peace, K., Chen, DG., Menon, S. (eds) Biopharmaceutical Applied Statistics Symposium . ICSA Book Series in Statistics. Springer, Singapore. https://doi.org/10.1007/978-981-10-7820-0_4
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DOI: https://doi.org/10.1007/978-981-10-7820-0_4
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