Back to search

Article

A pre-trained large generative model for translating single-cell transcriptome to proteome

2023-07-04

Abstract excerpt

Proteins are crucial for life, and measuring their abundance at the single-cell level can facilitate a high-resolution understanding of biological mechanisms in cellular processes and disease progression. However, current single-cell proteomic technologies face challenges such as limited coverage, throughput, and sensitivity, as well as batch effects, high costs, and stringent experimental operations. Drawing insp...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9c893264-e1b2-5fbf-92b5-fad0380efc38
DOI
10.1101/2023.07.04.547619
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
A pre-trained large generative model for translating single-cell transcriptome to proteomeDOI 10.1101/2023.07.04.547619
Select a neighboring publication to make it the new centre.