2024
DOI: 10.1101/2024.02.08.579519
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Semi-supervised Bayesian integration of multiple spatial proteomics datasets

Stephen D. Coleman,
Lisa Breckels,
Ross F. Waller
et al.

Abstract: The subcellular localisation of proteins is a key determinant of their function. High-throughput analyses of these localisations can be performed using mass spectrometry-based spatial proteomics, which enables us to examine the localisation and relocalisation of proteins. Furthermore, complementary data sources can provide additional sources of functional or localisation information. Examples include protein annotations and other high-throughput `omic assays. Integrating these modalities can provide new insigh… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 120 publications
(198 reference statements)
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?