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Resource type: Data Science

and Scientific topics: Mathematical biology

and Authors: Dr Eva Caamano-Gutierrez

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Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning

R for Data Science: November 2024

•• intermediate
Bioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning