LISA: Accurate reconstruction of cell trajectory and pseudo-time for massive single cell RNA-seq data
Sign Up to like & getrecommendations! Published in 2019 at "Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing"
DOI: 10.1142/9789813279827_0031
Abstract: Cell trajectory reconstruction based on single cell RNA sequencing is important for obtaining the landscape of different cell types and discovering cell fate transitions. Despite intense effort, analyzing massive single cell RNA-seq datasets is still… read more here.
Keywords: single cell; cell; pseudo time; cell trajectory ... See more keywords
LISA2: Learning Complex Single-Cell Trajectory and Expression Trends
Sign Up to like & getrecommendations! Published in 2021 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2021.681206
Abstract: Single-cell transcriptional and epigenomics profiles have been applied in a variety of tissues and diseases for discovering new cell types, differentiation trajectories, and gene regulatory networks. Many methods such as Monocle 2/3, URD, and STREAM… read more here.
Keywords: single cell; expression trends; trajectory expression; cell trajectory ... See more keywords