Mechanisms regulating self-renewal and cell fate decisions in mammalian stem cells are
poorly understood. We determined global gene expression profiles for mouse and human …

The high-dimensional data created by high-throughput technologies require visualization
tools that reveal data structure and patterns in an intuitive form. We present PHATE, a …

In the developing cerebral cortex, neurons are born on a predictable schedule. Here we
show in mice that the essential timing mechanism is programmed within individual progenitor …

Knockout studies have shown that the polycomb gene Bmi-1 is important for postnatal, but
not embryonic, neural stem cell (NSC) self-renewal and have identified the cell-cycle …

Polycomb group proteins regulate self-renewal and differentiation in many stem cell systems.
When assembled into two canonical complexes, PRC1 and PRC2, they sequentially …

As somatic cells are converted into induced pluripotent stem cells (iPSCs), their chromatin is
remodeled to a pluripotent configuration with unique euchromatin-to-heterochromatin ratios, …

In recent years, dimensionality reduction methods have become critical for visualization,
exploration, and interpretation of high-throughput, high-dimensional biological data, as they …

Nuclear hormone receptors are a family of transcription factors regulated by small molecules
derived from the endogenous metabolism or diet. There are forty-eight nuclear hormone …

With the advent of high-throughput technologies measuring high-dimensional biological
data, there is a pressing need for visualization tools that reveal data structure and emergent …

In the era of ‘Big Data’ there is a pressing need for tools that provide human interpretable
visualizations of emergent patterns in high-throughput high-dimensional data. Further, to …