Nano Random Forests to mine proteomics data for protein complexes and their relationships in quantitative proteomics data

ABSTRACT: This project has integrated SILAC proteomics data of wild type and knockout mitotic chromosomes, and used machine learning technique random forests to identify chromosomal complexes with high precision, and small training sets.

INSTRUMENT(S):

ORGANISM(S): Gallus Gallus (chicken)

TISSUE(S): Cell Culture

SUBMITTER: Luis Montano  

LAB HEAD: Juri Rappsilber

PROVIDER: PXD003588 | Pride | 2018-10-26

REPOSITORIES: pride