February 15, 2016
Jack D. Keene, PhD
Department of Molecular Genetics & Microbiology
414 Jones Building, Research Drive
Box 3020
Duke University Medical Center
Durham, NC 27710
Sayan Mukherjee, PhD
Assistant Professor
Institute for Genome
Sciences & Policy
Institute of Statistics and
Decision Sciences
Dear Dr. Keene,
I am writing to voice my enthusiastic support of your NSF FIBR grant application on
global mechanisms of post-transcriptional gene regulation. I believe that your
proposed use of statistical and machine learning methods to analyze transcript
variants and interaction data will provide new insights into the mechanisms of gene
expression.
As we have discussed, my role in the project will involve consulting on issues
pertaining to data classification, feature selection, and statistical/machine learning
issues, in particular as related to microarray data sets. Our laboratory has extensive
experience in the analysis of genomic data, and we are happy to share our
knowledge and resources with you in this cooperative endeavor.
I am strongly enthusiastic about your proposed project and look forward to working
with you.
Sincerely,
Sayan Mukherjee, PhD
Assistant Professor
Department of Computer
Science
Duke University
CIEMAS
101 Science Drive
Box 3382
Durham, NC 27708
T
F
919-668-4747
919-668-0795
www.genome.duke.edu