Skip Navigation

Faculty Search Results

  New Search

Search Results for Research Area: "Cancer informatics"


Faculty Search Results: Results 1 - 7 (List more/fewer results: 10 20 30 40 )
Faculty Member Brief Research Description
Michael Boehnke Statistical genetics, complex diseases, and human gene mapping, with application to type 2 diabetes and bipolar disorder  
Margit Burmeister Identifying genes involved in behavioral, neurological & psychiatric diseases, novel genetic techniques, gene expression, bioinformatics.  
Tom Kerppola Our laboratory investigates the regulation of transcription in mammalian cells. We use a variety of imaging approaches to visualize protein interactions and modifications in living cells and animals.  
David M Lubman Research in the Lubman lab focuses on proteomic pathways for biomarker and drug treatment using new technologies including mass spectrometry, liquid chromatography and microarrays.  
Kerby Shedden Statistics, including genomics, chemical biology, clinical outcome prediction, statistical genetics, and statistical image analysis.  
Muneesh Tewari Developing minimally invasive approaches to study human disease biology with high time-resolution for early detection and monitoring of cancer   
George Zhang Experimental: yeast evolutionary genomics Computational: evolutionary genomics and systems biology   
1