The focus of my research is on the development and application of statistical and computational methodologies for functional genomics data such as gene expression, chIP-Chip and proteomics. Applications of this work have included such complex traits as diabetes, cancer and alcoholism. Related to these analyses is a long standing interest in data cleaning and integration.

 

Laderas T, Bystrom C, McMillen D, Fan G, McWeeney S (2007) TandTRAQ: An open-source tool for integrated protein identification and quantitation. Bioinformatics. In Press

Keller DM, McWeeney S, Arsenlis A, Drouin J, Wright CV, Wang H, Wollheim CB, White P, Kaestner KH, Goodman RH (2007) Characterization of pancreatic transcription factor Pdx-1 binding sites using promoter microarray and serial analysis of chromatin occupancy.
J Biol Chem. In Press

Hofstetter JR, Hitzemann RJ, Belknap JK, Walter NA, McWeeney SK, Mayeda AR (2007)Characterization of the quantitative trait locus for haloperidol-induced catalepsy on distal mouse chromosome 1. Genes Brain Behav. In Press

Walter NA, McWeeney SK, Peters ST, Belknap JK, Hitzemann R, Buck KJ (2007) SNPs matter: impact on detection of differential expression. Nat Methods. Sep;4(9):679-80

Laderas T, McWeeney S (2007) Consensus framework for exploring microarray data using multiple clustering methods. OMICS. 11(1):116-28.

Yochum GS, McWeeney S, Rajaraman V, Cleland R, Peters S, Goodman RH (2007) Serial analysis of chromatin occupancy identifies beta-catenin target genes in colorectal carcinoma cells. PNAS