New Results
Improving the classification of neuropsychiatric conditions using gene ontology terms as features
View ORCID ProfileThomas P. Quinn, View ORCID ProfileSamuel C. Lee, View ORCID ProfileSvetha Venkatesh, View ORCID ProfileThin Nguyen
doi: https://doi.org/10.1101/393082
Thomas P. Quinn
1Centre for Pattern Recognition and Data Analytics (PRaDA), Deakin University, Geelong, 3220, Australia
2Centre for Molecular and Medical Research, Deakin University, Geelong, 3220, Australia
3Bioinformatics Core Research Group, Deakin University, Geelong, 3220, Australia
Samuel C. Lee
1Centre for Pattern Recognition and Data Analytics (PRaDA), Deakin University, Geelong, 3220, Australia
Svetha Venkatesh
1Centre for Pattern Recognition and Data Analytics (PRaDA), Deakin University, Geelong, 3220, Australia
Thin Nguyen
1Centre for Pattern Recognition and Data Analytics (PRaDA), Deakin University, Geelong, 3220, Australia
Article usage
Posted August 16, 2018.
Improving the classification of neuropsychiatric conditions using gene ontology terms as features
Thomas P. Quinn, Samuel C. Lee, Svetha Venkatesh, Thin Nguyen
bioRxiv 393082; doi: https://doi.org/10.1101/393082
Subject Area
Subject Areas
- Biochemistry (11571)
- Bioengineering (8622)
- Bioinformatics (28868)
- Biophysics (14803)
- Cancer Biology (11941)
- Cell Biology (17168)
- Clinical Trials (138)
- Developmental Biology (9302)
- Ecology (14019)
- Epidemiology (2067)
- Evolutionary Biology (18128)
- Genetics (12145)
- Genomics (16616)
- Immunology (11707)
- Microbiology (27692)
- Molecular Biology (11387)
- Neuroscience (60096)
- Paleontology (447)
- Pathology (1847)
- Pharmacology and Toxicology (3184)
- Physiology (4878)
- Plant Biology (10278)
- Synthetic Biology (2849)
- Systems Biology (7289)
- Zoology (1619)