Exploring the relationship between gene expression and leukemia prognosis in Shiny

The acute myeloid leukemia (AML) is one of the most devastating forms of cancer. AML prognosis is determined by many factors. Here, we build a dynamic application in Shiny to explore the relationship between patient prognosis and gene expression.

Associate Professor

My research explores how different factors are involved in regulating gene transcription that leads to the development of acute myeloid leukemia and other human cancers.

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