Cell identity understanding can be improved through machine learning: Study, Health News, ET HealthWorld
Washington: When genes are activated and expressed, they show patterns in cells that are similar in type and function across tissues and organs. Discovering these patterns improves our understanding of cells which has implications for unveiling disease mechanisms. The advent of spatial transcriptomics technologies has allowed researchers to observe gene expression in their spatial context … Read more