Kwonmoo Lee

Abstract Disease-specific subtype identification can deepen our understanding of disease progression and pave the way for personalized therapies, given the complexity of disease heterogeneity. Large-scale transcriptomic, proteomic, and imaging datasets create opportunities for discovering subtypes but also pose challenges due to their high dimensionality.

Abstract The identification of disease-specific subtypes can provide valuable insights into disease progression and potential individualized therapies, important aspects of precision medicine given the complex nature of disease heterogeneity. The advent of high-throughput technologies has enabled the generation and analysis of various molecular data types, such as single-cell RNA-seq, proteomic, and imaging datasets, on a large scale.

1 Introduction Live cell imaging offers unique insights into dynamic cellular processes and their functional outcomes across various spatiotemporal scales.[1-4] Recent advancements in microscopy technology have enabled the acquisition of extensive live cell image data at high resolutions.