New Results
An Evaluation of Machine-learning for Predicting Phenotype: studies in yeast and wheat
View ORCID ProfileNastasiya F. Grinberg, View ORCID ProfileRoss D. King
doi: https://doi.org/10.1101/105528
Nastasiya F. Grinberg
1.Department of Medicine, University of Cambridge, Addenbrooke’s Hospital, Hills Rd, Cambridge CB2 0SP
Ross D. King
2.School of Computer Science, University of Manchester, Oxford Road, Manchester M13 9PL
Article usage
Posted February 03, 2017.
An Evaluation of Machine-learning for Predicting Phenotype: studies in yeast and wheat
Nastasiya F. Grinberg, Ross D. King
bioRxiv 105528; doi: https://doi.org/10.1101/105528
Subject Area
Subject Areas
- Biochemistry (11760)
- Bioengineering (8760)
- Bioinformatics (29216)
- Biophysics (14988)
- Cancer Biology (12105)
- Cell Biology (17417)
- Clinical Trials (138)
- Developmental Biology (9430)
- Ecology (14190)
- Epidemiology (2067)
- Evolutionary Biology (18317)
- Genetics (12246)
- Genomics (16807)
- Immunology (11876)
- Microbiology (28108)
- Molecular Biology (11607)
- Neuroscience (61020)
- Paleontology (452)
- Pathology (1872)
- Pharmacology and Toxicology (3238)
- Physiology (4966)
- Plant Biology (10429)
- Synthetic Biology (2888)
- Systems Biology (7341)
- Zoology (1651)