Effect of distance measures on confidences of t-SNE embeddings and its implications on clustering for scRNA-seq data

Abstract Arguably one of the most famous dimensionality reduction algorithms of today is t-distributed stochastic neighbor embedding (t-SNE). Although being widely used for the visualization of scRNA-seq data, it is prone to errors as any algorithm and may lead to inaccurate interpretations of the v...

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Bibliographic Details
Main Authors: Busra Ozgode Yigin, Gorkem Saygili
Format: Article
Language:English
Published: Nature Portfolio 2023-04-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-32966-x