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The project involves mathematical analysis of the expression levels of all genes in the human genome at single-cell resolution. We will apply statistical and machine learning techniques to infer gene regulatory networks from single cell data. We will also examine the topology of subnetworks defined by highly expressed genes in specific cell types. These techniques will be applied to single-cell data from blood, brain and tumour samples with a view to unravelling the regulatory dynamics of normal and disease-associated tissues.
The Genome Institute of Singapore (GIS,
http://www.gis.a-star.edu.sg/internet/site/), founded 14 years ago when the human genome was sequenced, is Singapore's flagship institute for genome science and genomic medicine. Research at the GIS uses the latest high-throughput genomic technologies for massively parallel data generation, followed by integrative mathematical analysis to detect patterns, identify statistical outliers and derive biological insights. Specific application areas include cancer, stem cells, neuroscience, human genetics and infectious disease.
Students will receive a stipend of $1,000 per month, plus economy round-trip airfare.