Sara Mostafavi Computational Biology
Sara Mostafavi’s research focus is to understand the interrelationship between genotype and phenotype in the context of common human clinical traits. In particular, her interest lies in developing and applying statistical and machine learning techniques to study the genetic basis of complex diseases, by combining association evidence across multiple genome-wide data sources, such as gene expression and genotype data, and by modeling prior biological pathways and networks for disentangling spurious from meaningful correlations.
Ontario Graduate Scholarship, 2008-2010.
Queen’s Graduate Scholarship, 2004-2006.
S. Mostafavi et al, "Variation and genetic control of gene expression in primary immunocytes across inbred mouse strain," J. Immunol., vol. 193, no. 9, pp. 4485-4496, Nov. 2014.
K.G. Ardlie et al, "Sharing and Specificity of Co-expression Networks across 35 Human Tissues," PLoS Comput. Biol., vol. 11, no. 5, pp. e10042220, May. 2013.
A. Battle et al, "Characterizing the genetic basis of transcriptome diversity through RNA-sequencing of 922 individuals," Genome Res., vol. 24, no. 1, pp. 14-24, Jan. 2014.
S. Mostafavi et al, "Type I interferon signaling genes in recurrent major depression: increased expression detected by whole-blood RNA sequencing," Mol. Psychiatry, vol. 19, no. 12, pp. 1267-74, Dec. 2014.
S. Mostafavi and Q. Morris, "Combining many interaction networks to predict gene function and analyze gene lists," Proteomics, vol. 12, no. 10, pp. 1687-96, May 2012.
Fellow Child & Brain Development
University of British ColumbiaDepartment of Statistics
PhD (Computational Biology) University of Toronto
MSc (Computational Biology and Bioinformatics) Queen's University
BSc Honors (Computer Science, Life Sciences) University of Toronto
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