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Volume 19 Supplement 17

Selected articles from the International Conference on Intelligent Biology and Medicine (ICIBM) 2018: bioinformatics

Research

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 that they have no competing interests.

Los Angeles, CA, USA10-12 June 2018

Edited by Xiaoming Liu, Lei Xie, Zhijin Wu, Kai Wang, Zhongming Zhao, Jianhua Ruan and Degui Zhi.

Conference website

Related articles have been published as supplements to BMC Bioinformatics, BMC Genomics, BMC Medical Genomics, BMC Medical Informatics and Decision Making and BMC Systems Biology.

  1. The 2018 International Conference on Intelligent Biology and Medicine (ICIBM 2018) was held on June 10–12, 2018, in Los Angeles, California, USA. The conference consisted of a total of eleven scientific sessio...

    Authors: Xiaoming Liu, Lei Xie, Zhijin Wu, Kai Wang, Zhongming Zhao, Jianhua Ruan and Degui Zhi
    Citation: BMC Bioinformatics 2018 19(Suppl 17):492
    Content type: Introduction Published on:

  2. In genomic studies, to investigate how the structure of a genetic network differs between two experiment conditions is a very interesting but challenging problem, especially in high-dimensional setting. Existi...

    Authors: Yong He, Jiadong Ji, Lei Xie, Xinsheng Zhang and Fuzhong Xue
    Citation: BMC Bioinformatics 2018 19(Suppl 17):493
    Content type: Research Published on:

  3. Top-down mass spectrometry has unique advantages in identifying proteoforms with multiple post-translational modifications and/or unknown alterations. Most software tools in this area search top-down mass spec...

    Authors: Ziwei Li, Bo He, Qiang Kou, Zhe Wang, Si Wu, Yunlong Liu, Weixing Feng and Xiaowen Liu
    Citation: BMC Bioinformatics 2018 19(Suppl 17):494
    Content type: Research Published on:

  6. In precision medicine, scarcity of suitable biological data often hinders the design of an appropriate predictive model. In this regard, large scale pharmacogenomics studies, like CCLE and GDSC hold the promis...

    Authors: Saugato Rahman Dhruba, Raziur Rahman, Kevin Matlock, Souparno Ghosh and Ranadip Pal
    Citation: BMC Bioinformatics 2018 19(Suppl 17):497
    Content type: Research Published on:

  7. Identifying local recurrences in breast cancer from patient data sets is important for clinical research and practice. Developing a model using natural language processing and machine learning to identify loca...

    Authors: Zexian Zeng, Sasa Espino, Ankita Roy, Xiaoyu Li, Seema A. Khan, Susan E. Clare, Xia Jiang, Richard Neapolitan and Yuan Luo
    Citation: BMC Bioinformatics 2018 19(Suppl 17):498
    Content type: Research Published on:

  8. Electronic Medical Record (EMR) comprises patients’ medical information gathered by medical stuff for providing better health care. Named Entity Recognition (NER) is a sub-field of information extraction aimed...

    Authors: Shanta Chowdhury, Xishuang Dong, Lijun Qian, Xiangfang Li, Yi Guan, Jinfeng Yang and Qiubin Yu
    Citation: BMC Bioinformatics 2018 19(Suppl 17):499
    Content type: Research Published on:

  10. A range of rare and common genetic variants have been discovered to be potentially associated with mental diseases, but many more have not been uncovered. Powerful integrative methods are needed to systematica...

    Authors: Atlas Khan, Qian Liu and Kai Wang
    Citation: BMC Bioinformatics 2018 19(Suppl 17):501
    Content type: Research Published on:
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