ARWAR: a network approach for predicting adverse drug reactions

H Rahmani, G Weiss, O Méndez-Lucio… - Computers in biology and …, 2016 - Elsevier
Predicting novel drug side-effects, or Adverse Drug Reactions (ADRs), plays an important
role in the drug discovery process. Existing methods consider mainly the chemical and …

EMDIP: an entropy measure to discover important proteins in PPI networks

H Bashiri, H Rahmani, V Bashiri, D Módos… - Computers in Biology …, 2020 - Elsevier
Discovering important proteins in Protein–Protein Interaction (PPI) networks has attracted a
lot of attention in recent years. Most of the previous work applies different network centrality …

An integrated network of Arabidopsis growth regulators and its use for gene prioritization

E Sabaghian, Z Drebert, D Inzé, Y Saeys - Scientific Reports, 2015 - nature.com
Elucidating the molecular mechanisms that govern plant growth has been an important topic
in plant research and current advances in large-scale data generation call for computational …

Predicting genes involved in human cancer using network contextual information

H Rahmani, H Blockeel, A Bender - Journal of Integrative …, 2012 - degruyter.com
Summary Protein-Protein Interaction (PPI) networks have been widely used for the task of
predicting proteins involved in cancer. Previous research has shown that functional …

[PDF][PDF] Interaction-based feature selection for predicting cancer-related proteins in protein-protein interaction networks

H Rahmani, H Blockeel, A Bender - Prooceedings of the Fifth …, 2011 - academia.edu
The task of predicting in a protein-protein-interaction (PPI) network which proteins are
involved in certain diseases, such as cancer, has received a significant amount of attention …

[PDF][PDF] An Introduction to Graph Mining

H Rahmani - 2011 - liacs.leidenuniv.nl
Definition: Node i is important if the shortest-path distance of some node v to node i is likely
to be relevant for v's classification Feature fi denotes the shortest-path distance to node i …