What cannot be seen correctly in 2D visualizations of single-cell 'omics data?

Shu Wang; Eduardo D Sontag; Douglas A Lauffenburger

doi:10.1016/j.cels.2023.07.002

What cannot be seen correctly in 2D visualizations of single-cell 'omics data?

Cell Syst. 2023 Sep 20;14(9):723-731. doi: 10.1016/j.cels.2023.07.002.

Authors

Shu Wang¹, Eduardo D Sontag², Douglas A Lauffenburger³

Affiliations

¹ Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
² Departments of Bioengineering and Electrical & Computer Engineering, Northeastern University, Boston, MA 02115, USA. Electronic address: e.sontag@northeastern.edu.
³ Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Electronic address: lauffen@mit.edu.

PMID: 37734322
PMCID: PMC10863674 (available on 2024-09-20)
DOI: 10.1016/j.cels.2023.07.002

Abstract

A common strategy for exploring single-cell 'omics data is visualizing 2D nonlinear projections that aim to preserve high-dimensional data properties such as neighborhoods. Alternatively, mathematical theory and other computational tools can directly describe data geometry, while also showing that neighborhoods and other properties cannot be well-preserved in any 2D projection.

Publication types

Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

Abstract

Publication types

Grants and funding