Edited by Xiaohua Hu and Huiru Zheng.
Articles from this conference have also been published in BMC Bioinformatics, BMC Genomics, BMC Medical Informatics and Decision Making and BMC Systems Biology.
Volume 10 Supplement 5
Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare no competing interests.
Shenzhen, China15-18 December 2016
Edited by Xiaohua Hu and Huiru Zheng.
Articles from this conference have also been published in BMC Bioinformatics, BMC Genomics, BMC Medical Informatics and Decision Making and BMC Systems Biology.
A large number of long intergenic non-coding RNAs (lincRNAs) are linked to a broad spectrum of human diseases. The disease association with many other lincRNAs still remain as puzzle. Validation of such links ...
Prediction of drug-disease interactions is promising for either drug repositioning or disease treatment fields. The discovery of novel drug-disease interactions, on one hand can help to find novel indictions f...
Recent advances in omics technologies have raised great opportunities to study large-scale regulatory networks inside the cell. In addition, single-cell experiments have measured the gene and protein activitie...
Accurately predicting pathogenic human genes has been challenging in recent research. Considering extensive gene–disease data verified by biological experiments, we can apply computational methods to perform a...
Identifying protein complexes plays an important role for understanding cellular organization and functional mechanisms. As plenty of evidences have indicated that dense sub-networks in dynamic protein-protein...
Similar diseases are always caused by similar molecular origins, such as diasease-related protein-coding genes (PCGs). And the molecular associations reflect their similarity. Therefore, current methods for ca...
Automatic disease named entity recognition (DNER) is of utmost importance for development of more sophisticated BioNLP tools. However, most conventional CRF based DNER systems rely on well-designed features wh...
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