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Dimensionality reduction by UMAP to visualize physical and genetic interactions.

Abstract：

:Dimensionality reduction is often used to visualize complex expression profiling data. Here, we use the Uniform Manifold Approximation and Projection (UMAP) method on published transcript profiles of 1484 single gene deletions of Saccharomyces cerevisiae. Proximity in low-dimensional UMAP space identifies groups of genes that correspond to protein complexes and pathways, and finds novel protein interactions, even within well-characterized complexes. This approach is more sensitive than previous methods and should be broadly useful as additional transcriptome datasets become available for other organisms.

journal_name

Nat Commun

journal_title

Nature communications

authors

Dorrity MW,Saunders LM,Queitsch C,Fields S,Trapnell C

doi

10.1038/s41467-020-15351-4

subject

Has Abstract

pub_date

2020-03-24 00:00:00

pages

1537

issue

1

issn

2041-1723

pii

10.1038/s41467-020-15351-4

journal_volume

11

pub_type

杂志文章

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