Research
Interests
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Nusrat Jahan's
primary research area is statistical genomics. Gene expression studies are potentially useful
for identifying biomarkers that can differentiate between normal and disease conditions. But
these studies are characterized with small sample sizes, large number of variables, and
varying study specifications. Nusrat's research focus is integrating independent expression
studies originating from different platforms and tissues, but investigating similar biological conditions.
She is interested in the application of weight functions to reflect lack of consistency among the significance
information originating from different studies. High dimensionality is an inherent problem of genomics. Nusrat is also working on sparse sufficient dimension
reduction techniques to identify linear combinations of the most important input variables (genes) that best
explain the target variable prior to model building.