Presented By: Department of Statistics
Statistics Department Seminar Series: Rafael Irizarry, Professor, Department of Biostatistics, Harvard University
“Overcoming Bias and Batch Effects in single cell and bulk RNAseq Data”
Abstract:
In this talk I will demonstrate the presence of bias, systematic error and unwanted variability in next generation sequencing. I will show the substantial downstream effects these have on downstream results and how they can lead to misleading biological conclusions. I will do this using data from the public repositories as well as our own. We will then describe some preliminary solutions to these problems.
In this talk I will demonstrate the presence of bias, systematic error and unwanted variability in next generation sequencing. I will show the substantial downstream effects these have on downstream results and how they can lead to misleading biological conclusions. I will do this using data from the public repositories as well as our own. We will then describe some preliminary solutions to these problems.
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