Kevin McDade is currently working with Roger Day to understand the challenges in annotation mapping between protein and mRNA counterparts as they apply to proteomics data analysis. Preliminary data analysis is under way, and they are looking forward to further developing the project into a publication and a program method for future researchers to match these annotations more accurately and efficiently. He is currently an adjunct faculty member at Chatham University and enrolled half time in DBMI.
National Library of Medicine Biomedical Informatics Fellowship 2009-2013
Day R, McDade K, Chandran U, Lisovich A, Conrads T, Hood B, Kolli K, Litzi T, Maxwell T. Identifier mapping performance in an integrated expression microarray and shotgun proteomic experiment.BMC Bioinformatics. 2011 May 27;12:213.
DayR, McDadeK, GroverH, LuthraS, ChandranU, LisovichA. Bioinformatic Data Integration to Assess Data Preprocessing. Proceedings of the AMIA Joint Summit on Translational Science, March 2012.
Doctoral Candidate, Department of Biomedical Informatics
Kevin McDade, Uma Chandran, Roger Day. Improving Cancer Gene Expression Data Quality through a TCGA Data-Driven Evaluation of Identifier Filtering. Cancer Informatics 2015 Dec 16;14:149-161. DOI: 10.4137/CIN.S33076
Day RS, McDade KK, Chandran UR, Lisovich A, Conrads TP, Hood BL, Kolli VS, Kirchner D, Litzi T, Maxwell GL. (2011). Identifier mapping performance for integrating transcriptomics and proteomics experimental results. BMC Bioinformatics, 12, 213. http://doi.org/10.1186/1471-2105-12-213 PMID: 21619611 PMCID: PMC3124437