Presentation Open Access
Interpretable classification of molecular measurements via pathway-induced multiple kernel learning
Cadow Joris
Citation Style Language JSON Export
{
"publisher": "Zenodo",
"DOI": "10.5281/zenodo.3374393",
"title": "Interpretable classification of molecular measurements via pathway-induced multiple kernel learning",
"issued": {
"date-parts": [
[
2019,
8,
22
]
]
},
"abstract": "<p>Roadmap</p>\n\n<p>Molecular data classification: use network topology as a regulariser, define meta-features using pathway information Pathway-Induced. Multiple Kernel Learning (PIMKL): concept, pathway induction, multiple kernel learning PIMKL benchmarking: benchmark against other prior knowledge informed methods on multiple breast cancer cohorts.<br>\nPIMKL application: detects tumor samples accurately, integrates multiple omics seamlessly, identifies relevant pathways for each data type.</p>",
"author": [
{
"family": "Cadow Joris"
}
],
"id": "3374393",
"event-place": "Basel, Switzerland",
"type": "speech",
"event": "27th Conference on Intelligent Systems for Molecular Biology and the 18th European Conference on Computational Biology (ISMB/ECCB 2019)"
}
92
65
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 92 | 92 |
| Downloads | 65 | 65 |
| Data volume | 199.9 MB | 199.9 MB |
| Unique views | 88 | 88 |
| Unique downloads | 64 | 64 |
Indexed in
- Publication date:
- August 22, 2019
- DOI:
-
- Keyword(s):
- molecular measurements
- Grants:
-
European Commission:
- PrECISE - PERSONALIZED ENGINE FOR CANCER INTEGRATIVE STUDY AND EVALUATION (668858)
- Meeting:
- 27th Conference on Intelligent Systems for Molecular Biology and the 18th European Conference on Computational Biology (ISMB/ECCB 2019), Basel, Switzerland, 21-25 July 2019
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International