Authors :
Nazifa Tasnim Hia; Sumon Ahmed
Volume/Issue :
Volume 8 - 2023, Issue 6 - June
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/cwr8tzn9
DOI :
https://doi.org/10.5281/zenodo.8074673
Abstract :
Transcriptomics and lineage tracing have
enabled the development of computational methods for
determining developmental trajectories, allowing for
high-resolution examination of cellular dynamics. Since
2014, numerous methodologies have been proposed in the
field of pseudotime estimation. Although these algorithms
are potent, they are still in their infancy, and
consideration must be taken when employing their
strengths and weaknesses. This paper describes
prominent computational approaches in depth for
pseudotime estimation based on the information they
utilize, as well as describing future challenges and
opportunities for the development of new methods.
Keywords :
Pseudotime Estimation; Sigle-Cell Data; Literature Review.
Transcriptomics and lineage tracing have
enabled the development of computational methods for
determining developmental trajectories, allowing for
high-resolution examination of cellular dynamics. Since
2014, numerous methodologies have been proposed in the
field of pseudotime estimation. Although these algorithms
are potent, they are still in their infancy, and
consideration must be taken when employing their
strengths and weaknesses. This paper describes
prominent computational approaches in depth for
pseudotime estimation based on the information they
utilize, as well as describing future challenges and
opportunities for the development of new methods.
Keywords :
Pseudotime Estimation; Sigle-Cell Data; Literature Review.
