Accompanied by new metrics and clear benchmarks, this aim will lead to new methods and best-practices for scRNA-seq data integration.
Aim 2 : To demonstrate the power of this approach, we will integrate all available datasets profiling the human nervous system, including sparse, deep, cytoplasmic, and nuclear single cell transcriptomics. 
Our work in this aim will provide a clear roadmap for HCA to construct a coherent atlas of cell states from diverse community-generated datasets, and reveal the strengths of integrated analysis for cellular phenotyping.