@inproceedings{8e72ed05522f40d08f7f08b1b969f254,
title = "MultiFacTV: Finding modules from higher-order gene expression profiles with time dimension",
abstract = "Module detection is an important task in bioinformatics which aims at finding a set of cells/genes that interact together to be responsible for some biological functionalities. In this paper, we propose a novel tensor factorization approach to finding modules from higher-order gene expression profiles with the time dimension, e.g., gene x condition x time data. The main idea is to incorporate a total variation regularization term for the time dimension during the tensor factorization, and then use the factorization results to identify the modules. Experimental results on two real gene x condition x time datasets have shown the effectiveness of the proposed method.",
keywords = "alternating directions method, module detection, regularization, tensor factorization, total variation",
author = "Xutao Li and Yunming Ye and Qingyao Wu and Ng, \{Michael K.\}",
year = "2012",
doi = "10.1109/BIBM.2012.6392641",
language = "English",
isbn = "9781467325585",
series = "Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012",
pages = "53--58",
booktitle = "Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2012",
note = "2012 IEEE International Conference on Bioinformatics and Biomedicine, BIBM2012 ; Conference date: 04-10-2012 Through 07-10-2012",
}