Denise Scholtens, PhD

Assistant Professor

Dr. Scholtens received a bachelor’s degree in mathematics with secondary education certification from Wheaton College in Wheaton, IL in 1997 and a PhD in biostatistics from Harvard University in 2004. While completing her thesis work, she served as a consulting biostatistician in the microarray core facility at the Dana-Farber Cancer Institute and contributed to the Bioconductor project. In 2004, she joined the Department of Preventive Medicine at Northwestern University and is a biostatistician for the Robert H. Lurie Comprehensive Cancer Center.

Research Interests

Dr. Scholtens is interested in the development of methodology for the analysis of high-dimensional data, specifically pertaining to bioinformatics research. She has worked on the analysis of factorial designed microarray experiments and local modeling of protein complexes. She is currently interested in developing measurement error models for graph theoretic data and efficient sampling schemes for network data collection.

Dr. Scholtens is also interested in bivariate survival estimation techniques and their application in sequential settings.

Recent Publications

1. Scholtens D and Betensky R. A computationally simple bivariate survival estimator for efficacy and safety data. Lifetime Data Analysis. To appear.

2. Scholtens D and von Heydebreck A. Analysis of differential gene expression studies. In Gentleman R, Carey V, Huber W, Irizarry R, Dudoit S (Eds.). Bioinformatics and Computational Biology Solutions using R and Bioconductor. Springer, 2005.

3. Huber W, Gentleman R, Scholtens D, Ding B, Carey V. Case studies using graphs on biological data. In Gentleman R, Carey V, Huber W, Irizarry R, Dudoit S (Eds.). Bioinformatics and Computational Biology Solutions using R and Bioconductor. Springer, 2005.

4. Scholtens D and Gentleman R. Making Sense of High-Throughput Protein- Protein Interaction Data. Statistical Applications in Genetics and Molecular Biology, 2004; 3(1): Article 39.

5. Balasubramanian R*, LaFramboise T*, Scholtens D*, Gentleman R. A graph theoretic approach to testing association between disparate sources of functional genomics data. Bioinformatics, 2004; 20:3353-3362. *Equal contributors to this work.

6. Scholtens D, Miron A, Merchant F, Miller A, Miron P, Iglehart JD, Gentleman R. Analyzing factorial designed microarray experiments. Journal of Multivariate Analysis, 2004; 90(1): 19-43.

7. Scholtens, D, Chiang T, Huber W, Gentleman R. Estimating node degree in bait-prey graphs. Bioinformatics. 2007 Nov 19.
8. Melnikov AA, Scholtens DM, Wiley EL, Khan SA, Levenson VV. Array-based multiplex analysis of DNA methylation in breast cancer tissues. J Mol Diagn. 2008 Jan;10(1):93-101.
9. Scholtens D, Chiang T, Huber W, Gentleman R. Estimating node degree in bait-rey graphs. Bioinformatics. 2008 Jan 15;24(2):218-024.
10. Barbolina MV, Adley BP, Kelly DL, Fought AJ, Scholtens DM, Shea LD, Stack MS. Motility-relate actinin alpha-4 is associated with advanced and metastatic ovarian carcinoma. Lab Invest. 2008 Mar 24 [Epub ahead of print]

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