A Bioconductor workflow for processing and analysing spatial proteomics data

F1000Research

Volumn 5, Issue , 2018, Pages

  Gatto, Laurent ^a,b   Breckels, Lisa M ^a,b   Mulvey, Claire M ^b   Lilley, Kathryn S ^b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Bioconductor; Machine learning; Mass spectromery; Protein sub cellular localisation; Proteomics; R Package; Spatial proteomics; Transfer learning

Indexed keywords

ARTICLE; CELLULAR DISTRIBUTION; DATA ANALYSIS; DATA PROCESSING; MASS SPECTROMETRY; MOUSE EMBRYONIC STEM CELL; PLURIPOTENT STEM CELL; PROTEIN LOCALIZATION; PROTEOMICS; SOFTWARE; SPATIAL PROTEOMICS;

EID: 85050276537     PISSN: 20461402     EISSN: 1759796X     Source Type: Journal    
DOI: 10.12688/f1000research.10411.2     Document Type: Article

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