Trajectory inference approaches analyze genome-wide omics data from thousands of single
cells and computationally infer the order of these cells along developmental trajectories …

Rapid technological advances in transcriptomics and lineage tracing technologies provide
new opportunities to understand organismal development at the single-cell level. Building …

Background: Single-cell studies have demonstrated the presence of significant cell-to-cell
heterogeneity in gene expression. Whether such heterogeneity is only a bystander or has a …

When human cord blood–derived CD34+ cells are induced to differentiate, they undergo
rapid and dynamic morphological and molecular transformations that are critical for fate …

We employed our previously-described single-cell gene expression analysis CALISTA
(Clustering And Lineage Inference in Single-Cell Transcriptional Analysis) to evaluate …

The initial stages following the in vitro cytokine stimulation of human cord blood CD34+ cells
overlap with the period when lentiviral gene transfer is typically performed. Single-cell …

Pediatric glioblastoma is a complex dynamical disease that is difficult to treat due to its
multiple adaptive behaviors driven largely by phenotypic plasticity. Integrated data science …

Gene Regulatory Networks (GRNs) reconstruction aims to infer relationships of potential
regulation among the genes. With the rapid growth of the biotechnology, such as …

Motivation RNA molecules can undergo complex structural dynamics, especially during
transcription, which influence their biological functions. Recently developed high-throughput …

Mammalian hematopoiesis, the process by which blood cells develop from a common
progenitor cell, is evolutionarily conserved and unfolds continuously over the lifetime of an …