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Article

Structure-Preserving Visualization for Single-cell RNA-Seq Profiles Using Deep Manifold Transformation with Batch-Correction

2022-07-11

Abstract excerpt

<h4>ABSTRACT</h4> Dimensionality reduction and visualization play an important role in biological data analysis, such as data interpretation of single-cell RNA sequence (scRNA-seq). It is desired to have a visualization method that can not only be applicable to various application scenarios, including cell clustering and trajectory inference, but also satisfy a variety of technical requirements, especially the ab...

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Literature Corpus work
6ae4704d-6232-5501-8035-aa3b38fb210b
DOI
10.1101/2022.07.09.499435
Open publication

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Structure-Preserving Visualization for Single-cell RNA-Seq Profiles Using Deep Manifold Transformation with Batch-CorrectionDOI 10.1101/2022.07.09.499435
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