Single-Cell Transcriptome Sequencing Of Human Induced Pluripotent Stem Cells Identifies Differentially Primed Subpopulations
Quan Hoang Nguyen, Samuel W. Lukowski, Han Sheng Chiu, Anne Senabouth, Timothy J. C. Bruxner, Angelika N. Christ, Nathan J. Palpant, Joseph E. Powell
The paper identifies four transcriptionally distinct subpopulations in human induced pluripotent stem cells using single-cell RNA sequencing and develops a machine learning method to classify and predict transitions between these states.
Genome Research · Jul 1, 2018Peer-reviewedGenomics