Broad functional profiling of fission yeast proteins using phenomics and machine learning

Many proteins remain poorly characterized even in well-studied organisms, presenting a bottleneck for research. We applied phenomics and machine-learning approaches with Schizosaccharomyces pombe for broad cues on protein functions. We assayed colony-growth phenotypes to measure the fitness of delet...

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Bibliographic Details

Published in:	eLife
Main Authors:	María Rodríguez-López, Nicola Bordin, Jon Lees, Harry Scholes, Shaimaa Hassan, Quentin Saintain, Stephan Kamrad, Christine Orengo, Jürg Bähler
Format:	Article
Language:	English
Published:	eLife Sciences Publications Ltd 2023-10-01
Subjects:	cell phenotype functional genomics unknown protein computational prediction gene ontology machine learning
Online Access:	https://elifesciences.org/articles/88229