Publication Date: 2023/06/23
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.
DOI: https://doi.org/10.5281/zenodo.8074673
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23JUN1031.pdf
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