TITLE: "Efficient variance components analysis across millions of genomes." ABSTRACT: While variance components analysis has emerged as a powerful tool in complex trait genetics, existing methods for fitting variance components do […]
TITLE: "Asymptotic-Numerical Method For Cell Focusing in Microfluidic Channel." ABSTRACT: Inertial microfluidic devices use inertial lift forces to organize the spacing and positions of cells carried by flow. A hybrid […]
TITLE: "A pan-cancer landscape analysis of molecular and functional genomics in tumor proliferation." ABSTRACT: Rapid proliferation is a central hallmark of cancer and is associated with poor prognosis in most […]
Assistant Professor-Biostatistics, Department of Biostatistics and Epidemiology, Rutgers University "Model-based analysis of alternative polyadenylation using 3' end reads" Hosted by Jessica Li
TITLE: "Distal mediator-enriched placental transcriptome-wide association studies reveal genetic mechanisms supporting the Developmental Origins of Health and Disease." ABSTRACT: As the master regulator of the intrauterine environment, the placenta is […]
TITLE: "Clipper: p-value-free FDR control on high-throughput data from two conditions." ABSTRACT: High-throughput biological data analysis commonly involves identifying "interesting" features (e.g., genes, genomic regions, and proteins), whose values differ between two conditions, from numerous features measured simultaneously. The most widely-used criterion to ensure the analysis reliability is the false discovery rate (FDR). Existing bioinformatics […]
Associate Professor, UCLA Institute for Society and Genetics “TBD” Hosted by Paivi Pajukanta
TITLE: "Critical slowing down signals quasi-species extinction in an evolutionary model with environmental heterogeneity." ABSTRACT: Environmental heterogeneity can significantly affect the evolutionary dynamics of a population. A key parameter that determines the influence of heterogeneity is the migration rate--the rate at which organisms explore their heterogeneous environment. We study a model of a population which migrates between […]
TITLE: "Integrating metabolomics and fluxomics to study cancer metabolism in low glucose environments." ABSTRACT: Metabolomics and fluxomics are integral tools for quantitative metabolic analysis. By combining mass spectrometry, isotope tracing, and mathematical modeling, we can quantify metabolite concentrations and fluxes in cancer cells. Using these tools, we are investigating the coordination of bioenergetics, biosynthesis, and redox […]
Associate Professor, Department of Biochemistry and Biophysics, UCSF “TBD” Hosted by David Eisenberg
