Related Experiment Video
Updated: Jun 29, 2025

Temporal Ordering of Dynamic Expression Data from Detailed Spatial Expression Maps
Published on: February 9, 2017
PreTSA: computationally efficient modeling of temporal and spatial gene expression patterns
1Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
Abstract:
Modeling temporal and spatial gene expression patterns in large-scale single-cell and spatial transcriptomics data is a computationally intensive task. We present PreTSA, a method that offers computational efficiency in modeling these patterns and is applicable to single-cell and spatial transcriptomics data comprising millions of cells. PreTSA consistently matches the results of state-of-the-art methods while significantly reducing computational time. PreTSA provides a unique solution for studying gene expression patterns in extremely large datasets.
More Related Videos
Related Concept Videos
Structure of a Gene
However, only 1% of the DNA is composed of genes that encode proteins; the rest, 99% is non-coding DNA. This non-coding DNA performs...
Reporter Genes
What is Gene Expression?
DNA Microarrays
Cell Specific Gene Expression
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

