Shen Yin and Sherry Wang discuss their research on normalizing RNA data and their collaboration with medical scientists


Shen Yin recently successfully defended his dissertation for the Ph.D. in Biostatistics under the direction of Professor Sherry Wang of the Statistical Science Department. Dr. Shen and Dr. Wang developed a new method to process RNA from tissues that do not have to be kept frozen, making them cheaper and easier to maintain and transport to labs (Yin, S., Wang, X., Jia, G., and Xie, Y. (2020). MIXnorm: Normalizing Gene Expression Data from RNA Sequencing of Formalin-Fixed Paraffin-Embedded Samples. Bioinformatics). Their method produces more accurate results about gene expression from the RNA than other methods currently available.  Extracting gene expression information has proven useful in understanding and treating many conditions in humans, so is of critical importance in medical research. Listen to Shen and Sherry describe their research, the process of interdisciplinary collaboration, and provide a tour of their tool that performs the processing.

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