- Position
- PhD (alumnus)
- Current affiliation
- King Fahd University of Petroleum and Minerals (Assistant Professor)
- Institution
- KAUST
- Program
- Computer Science
- Start
- 2015
- End
- 2019
Connections
advisor borg:advisor
on project borg:onProject
Referenced by
team borg:hasMember
authors schema:author
- Phenotype-driven discovery of digenic variants in personal genome sequences
- Prediction of Metabolic Pathway Involvement in Prokaryotic UniProtKB Data by Association Rule Mining
- The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
- DeepPVP: phenotype-based prioritization of causative variants using deep learning
- OligoPVP: Phenotype-driven analysis of individual genomic information to prioritize oligogenic disease variants
- Semantic prioritization of novel causative genomic variants
Open in the interactive graph →
JSON-LD (this resource)
{
"@context": {
"schema": "https://schema.org/",
"foaf": "http://xmlns.com/foaf/0.1/",
"prov": "http://www.w3.org/ns/prov#",
"dct": "http://purl.org/dc/terms/",
"borg": "https://borg.kaust.edu.sa/kg/ns/",
"borg-id": "https://borg.kaust.edu.sa/kg/",
"owl": "http://www.w3.org/2002/07/owl#"
},
"@id": "https://leechuck.de/kg-browser/id/person/imane-boudellioua",
"@type": "foaf:Person",
"owl:sameAs": {
"@id": "https://borg.kaust.edu.sa/kg/person/imane-boudellioua"
},
"foaf:name": "Imane Boudellioua",
"foaf:givenName": "Imane",
"foaf:familyName": "Boudellioua",
"borg:position": "PhD (alumnus)",
"borg:currentAffiliation": "King Fahd University of Petroleum and Minerals (Assistant Professor)",
"borg:thesisTitle": "Semantic Prioritization of Novel Causative Variants",
"borg:thesisFile": "imene-thesis/Thesis.pdf",
"borg:thesisDefenseDate": "2019-02-05",
"borg:program": "Computer Science",
"borg:institutionAtBORG": "KAUST",
"borg:advisor": "borg-id:person/robert-hoehndorf",
"borg:startYear": 2015,
"borg:endYear": 2019,
"borg:onProject": [
{
"@id": "https://leechuck.de/kg-browser/id/project/crg-complex-variant-prioritization",
"borg:startYear": 2015,
"borg:endYear": 2019
}
],
"borg:topic": [
{
"@id": "https://leechuck.de/kg-browser/id/topic/rare-disease-diagnostic-support",
"borg:weight": 5
},
{
"@id": "https://leechuck.de/kg-browser/id/topic/genomics",
"borg:weight": 2
},
{
"@id": "https://leechuck.de/kg-browser/id/topic/protein-function-prediction",
"borg:weight": 2
},
{
"@id": "https://leechuck.de/kg-browser/id/topic/neuro-symbolic-ai",
"borg:weight": 2
},
{
"@id": "https://leechuck.de/kg-browser/id/topic/semantic-similarity",
"borg:weight": 2
},
{
"@id": "https://leechuck.de/kg-browser/id/topic/phenotype-informatics",
"borg:weight": 1
},
{
"@id": "https://leechuck.de/kg-browser/id/topic/biomedical-informatics",
"borg:weight": 1
},
{
"@id": "https://leechuck.de/kg-browser/id/topic/applied-ontology",
"borg:weight": 1
}
]
}
Machine-readable copy: data.jsonld. Full dataset: kg.jsonld.