@inproceedings{4041f2de553b4acc94163196da005340,
title = "Constructing yeast genetic interaction network using biomedical literature and logistic regression",
abstract = "Various computational algorithms have been developed for constructing the genetic networks and by using text mining. The rapid growth in the biomedical literature, however, still encourages the importance of improving these algorithms for a better understanding of the protein/gene biochemical interactions. This paper proposes a text mining system that constructs a gene-gene-interaction network for the yeast genome by identifying the co-occurrence frequency of the genes in the biomedical text. The system determines connected genes based on their appearance in several levels of the text (i.e. abstract and sentence). This paper highlights the importance of recognizing the sparsity of biomedical data when designing a text mining prediction system. It does so by employing a rare event classification model that reflects the population using small samples of data. The results show that this method has the potential of improving the prediction accuracy for gene-gene-interactions.",
keywords = "biological NLP, biomedical literature, gene-gene-interaction, information extraction, Text mining",
author = "Amira Al-Aamri and Kamal Taha and Yousof Al-Hammadi and Maher Maalouf and Dirar Homouz",
note = "Funding Information: This work is supported by ADEC Award for Research Excellence (AARE), grant # 843401. The authors would like to acknowledge also the support provided by the Office of Research Support at Khalifa University. Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017 ; Conference date: 21-11-2017 Through 23-11-2017",
year = "2017",
month = jun,
day = "28",
doi = "10.1109/ICECTA.2017.8252034",
language = "British English",
series = "2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--5",
booktitle = "2017 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2017",
address = "United States",
}