Title: “A brief introduction to Transcriptomic data analysis”

Speaker: Dr. Tanbin Rahman, Postdoctoral Fellow at the MD Anderson Cancer Center, USA.

Date & time: Monday, July 13, 2020 at 9.00AM

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This presentation will briefly discuss the different types of transcriptomic datasets in the field of statistical genomics. At first, the structure of the datasets will be discussed. The preprocessing of the datasets followed by Differential Expression (DE) analysis and pathway analysis aimed at identifying the candidate genes and functional annotation of the candidate gene sets respectively, will be discussed. Finally, the application of supervised/unsupervised machine learning algorithms in genomic studies will be explored.