Abstract

Cellunomics envisions the new branch of cell, which integrates genomics and proteomics with a new knowledge base built from temporal and spatial data on the chemical and molecular interrelationships of cellular components, i.e., cellome. Cellunomics helps in finding cell-specific protein and protein-protein interaction using cell-specific mRNA and protein repository. A flexible statistical-model-based clustering approach is introduced for identifying cell populations and the data revealed by the cellome is informational as well as physical. Cellunomics aids the automated, high-content platforms, to increase the scope and scale of experiments traditionally executed through interactive microscopy.

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