Ontology highlight
ABSTRACT:
SUBMITTER: Hong Y
PROVIDER: S-EPMC11330101 | biostudies-literature | 2024 Jul
REPOSITORIES: biostudies-literature
Hong Yan Y Li Hanshuang H Long Chunshen C Liang Pengfei P Zhou Jian J Zuo Yongchun Y
Fundamental research 20240209 4
The increasing emergence of the time-series single-cell RNA sequencing (scRNA-seq) data, inferring developmental trajectory by connecting transcriptome similar cell states (i.e., cell types or clusters) has become a major challenge. Most existing computational methods are designed for individual cells and do not take into account the available time series information. We present IDTI based on the Increment of Diversity for Trajectory Inference, which combines time series information and the mini ...[more]