Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming
收藏NIAID Data Ecosystem2026-05-02 收录
下载链接:
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE122662
下载链接
链接失效反馈官方服务:
资源简介:
This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
应用场景:
创建时间:
2025-05-30
相关数据集
Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming. Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming
This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series
NIAID Data Ecosystem20
Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming II. Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming II
We collected duplicate samples at the various time points, generated single cell suspensions and performed scRNA-Seq. We also collected samples from established iPSC lines reprogrammed from the same M
NIAID Data Ecosystem30
Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming III
We collected triplicate samples at day 15 under serum condition, generated single cell suspensions and performed scRNA-Seq (10X Genomics). We also collected samples from a bulk population and performe
NIAID Data Ecosystem10
Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming I. Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming I
We collected single or duplicate samples at the various time points, generated single cell suspensions and performed scRNA-Seq. We also collected samples from established iPSC lines reprogrammed from
NIAID Data Ecosystem40
Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming III. Optimal-transport analysis of single-cell gene expression identifies developmental trajectories in reprogramming III
We collected triplicate samples at day 15 under serum condition, generated single cell suspensions and performed scRNA-Seq (10X Genomics). We also collected samples from a bulk population and performe
NIAID Data Ecosystem30



