Dan Ofer
TitleCited byYear
An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Y Jiang, TR Oron, WT Clark, AR Bankapur, D D’Andrea, R Lepore, ...
Genome biology 17 (1), 184, 2016
1992016
ProFET: Feature engineering captures high-level protein functions
D Ofer, M Linial
Bioinformatics 31 (21), 3429-3436, 2015
322015
NeuroPID: a predictor for identifying neuropeptide precursors from metazoan proteomes
D Ofer, M Linial
Bioinformatics 30 (7), 931-940, 2013
162013
Short toxin-like proteins attack the defense line of innate immunity
Y Tirosh, D Ofer, T Eliyahu, M Linial
Toxins 5 (7), 1314-1331, 2013
142013
ASAP: a machine learning framework for local protein properties
N Brandes, D Ofer, M Linial
Database 2016, 2016
72016
NeuroPID: a classifier of neuropeptide precursors
S Karsenty, N Rappoport, D Ofer, A Zair, M Linial
Nucleic acids research 42 (W1), W182-W186, 2014
62014
Overlooked short toxin-like proteins: a shortcut to drug design
M Linial, N Rappoport, D Ofer
Toxins 9 (11), 350, 2017
42017
The little known universe of short proteins in insects: A machine learning approach
D Ofer, N Rappoport, M Linial
Short Views on Insect Genomics and Proteomics, 177-202, 2015
12015
Machine Learning for Protein Function
D Ofer
arXiv preprint arXiv:1603.02021, 2016
2016
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Articles 1–9