I am interested in creating tools for the processing and analysis of single-cell RNA-sequencing (scRNA-seq) data. In particular, my current research efforts center around DoubletDecon, an R-package designed to computationally identify and remove doublets, which are two cells sequenced together as if they are one cell. My dissertation research also extends beyond doublet detection in scRNA-seq datasets and aims to incorporate multiple forms of single-cell data for better classification of cells.
My dissertation work involves developing sophisticated tools that can identify the heterogeneity in diseases using genomic datasets and handle various computational complexities like missing values, sparsity and high dimensionality.
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