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BioMed Research International
Volume 2015, Article ID 839590, 14 pages
http://dx.doi.org/10.1155/2015/839590
Research Article

Predicting the Functions of Long Noncoding RNAs Using RNA-Seq Based on Bayesian Network

1College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang 150086, China
2Key Laboratory of Cardiovascular Medicine Research, Harbin Medical University, Ministry of Education, Harbin, Heilongjiang 150086, China

Received 15 November 2014; Revised 5 February 2015; Accepted 6 February 2015

Academic Editor: Tatsuya Akutsu

Copyright © 2015 Yun Xiao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Supplementary Material

Supplemental Figures:

Figure S1. Differentially expressed lncRNAs and protein-coding genes in the regulatory network.

Figure S2. The overlapping functions between our approach and knockdown-based experiment for 38 lncRNAs.

Supplemental Tables:

Table S1. The numbers of reads, transcripts and genes in each RNA-seq sample.

  1. Supplementary Material