(2018). Pathway analysis using XGBoost classification in Biomedical Data. In Proceedings of the 10th Hellenic Conference on Artificial Intelligence (pp. 1–6). ACM. https://doi.org/10.1145/3200947.3201029
Περίληψη
Given the fact that our biological existence is rooted in a complex system within our cells with thousands of interactions among genes and metabolites, research community in biological and medical fields have shifted their interest to network-based approaches. This complexity is imprinted in networks which encode the relationships among system's components. This evolution has also led to the generation a new research fields, the Network Medicine, a combination of Network Science and Systems Biology applied to human diseases. Meanwhile, cutting-edge approaches towards this direction are the subpathway-based methods, identifying "active subpathways" - in the form of local sub-structures within pathways - related with a case under study.
- DOI
- 10.1145/3200947.3201029
- Τύπος
- Άρθρο σε Πρακτικά Συνεδρίου
- Έτος
- 2018
Σύνδεσμοι
BibTeX
@inproceedings{dimitrakopoulos2018pathway,
title = {Pathway analysis using XGBoost classification in Biomedical Data},
author = {Georgios N. Dimitrakopoulos and Aristidis G. Vrahatis and Vassilis P. Plagianakos and Kyriakos Sgarbas},
url = {https://doi.org/10.1145/3200947.3201029},
doi = {10.1145/3200947.3201029},
year = {2018},
date = {2018-01-01},
booktitle = {Proceedings of the 10th Hellenic Conference on Artificial Intelligence},
pages = {1–6},
publisher = {ACM},
abstract = {Given the fact that our biological existence is rooted in a complex system within our cells with thousands of interactions among genes and metabolites, research community in biological and medical fields have shifted their interest to network-based approaches. This complexity is imprinted in networks which encode the relationships among system's components. This evolution has also led to the generation a new research fields, the Network Medicine, a combination of Network Science and Systems Biology applied to human diseases. Meanwhile, cutting-edge approaches towards this direction are the subpathway-based methods, identifying "active subpathways" - in the form of local sub-structures within pathways - related with a case under study.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}