论文信息 - The International Conference on Intelligent Biology and Medicine (ICIBM) 2018: systems biology on diverse data types

The International Conference on Intelligent Biology and Medicine (ICIBM) 2018: systems biology on diverse data types

Between June 10–12, 2018, the International Conference on Intelligent Biology and Medicine (ICIBM 2018) was held in Los Angeles, California, USA. The conference included 11 scientific sessions, four tutorials, one poster session, four keynote talks and four eminent scholar talks that covered a wide range of topics in 3D genome structure analysis and visualization, next generation sequencing analysis, computational drug discovery, medical informatics, cancer genomics and systems biology. Systems biology has been a main theme in ICIBM 2018, with exciting advances presented in many areas of systems biology, covering various different data types such as gene regulation, circular RNAs expression, single-cell RNA-Seq, inter-chromosomal interactions, metabolomics, proteomics and phosphoproteomics. Here, we describe ten high quality papers to be published in BMC Systems Biology.

[1] Jie Ren,et al. Integrating proteomic and phosphoproteomic data for pathway analysis in breast cancer , 2018, BMC Systems Biology.

[2] Zhongming Zhao,et al. Circular RNA expression profiles during the differentiation of mouse neural stem cells , 2018, BMC Systems Biology.

[3] Yidong Chen,et al. scdNet: a computational tool for single-cell differential network analysis , 2018, BMC Systems Biology.

[4] William T. Choi,et al. Metabolomics of mammalian brain reveals regional differences , 2018, BMC Systems Biology.

[5] Zhongming Zhao,et al. Multiple transcription factors contribute to inter-chromosomal interaction in yeast , 2018, BMC Systems Biology.

[6] Edward R. Dougherty,et al. An experimental design framework for Markovian gene regulatory networks under stationary control policy , 2018, BMC Systems Biology.

[7] J. Redell,et al. Classifying mild traumatic brain injuries with functional network analysis , 2018, BMC Systems Biology.

[8] Yufei Huang,et al. GSAE: an autoencoder with embedded gene-set nodes for genomics functional characterization , 2018, BMC Systems Biology.

[9] Zhu-Hong You,et al. Prediction of protein self-interactions using stacked long short-term memory from protein sequences information , 2018, BMC Systems Biology.

[10] Zhongming Zhao,et al. Identification of gene signatures from RNA-seq data using Pareto-optimal cluster algorithm , 2018, BMC Systems Biology.