Jennifer Clarke

Jennifer Clarke portrait

Dr. Clarke's research interests encompass statistical methodology (with an emphasis on high dimensional and predictive methods), statistical computation, bioinformatics/computational biology, multi-type data analysis, data mining/machine learning, and bacterial genomics/metagenomics (gut function initiative). She is the director of the Quantitative Life Sciences Initiative.

Featured Publications

Clarke B, and Clarke J. Predictive Statistics, Cambridge University Press. A graduate level textbook on prediction in statistics. In production for publication in 2018.

 

Clarke B, Amiri S, and Clarke, J. EnsCat: Clustering of high dimensional categorical data via ensembling. BMC Bioinformatics 2016 Sep 15; 17: 380. doi: 10.1186/s12859-016-1245-9. PubMed PMID: 5025633.

 

Brahma S, Martinez I, Walter J, Clarke J, Gonzalez T, Menon R, and Rose D. Impact of dietary pattern of the fecal donor on in vitro fermentation properties of whole grains and beans. Journal of Functional Foods 2017, 29: 281-289. doi:10.1016/j.jff.2016.12.042

 

Sinha R, Clarke J, and Benson A. Alignment behaviors of short peptides provide a roadmap for functional profiling of metagenomic data. BMC Genomics 2015 Dec; 16:1080. doi: 10.1186/s12864-015-2272-z. PubMed PMID: 26691573.

 

Sumargo F, Gulati P, Weier S, Clarke J, and Rose D. Effects of processing moisture on the physical properties and in vitro digestibility of starch and protein in extruded brown rice and pinto bean composite flours. Food Chemistry 2016 Nov; 211: 726-733. doi:10.1016/j.foodchem.2016.05.097. PubMed PMID: 27283689