Skip to content

Advertisement

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

Related articles have been published as supplements to BMC Bioinformatics and BMC Systems Biology.

  1. Content type: Introduction

    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

    Published on:

  2. Content type: Research

    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

    Published on:

  3. Content type: Research

    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

    Published on:

  4. Content type: Research

    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

    Published on:

  5. Content type: Research

    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

    Published on:

  6. Content type: Research

    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

    Published on:

  7. Content type: Research

    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

    Published on:

2017 Journal Metrics

  • Citation Impact
    2.213 - 2-year Impact Factor
    3.114 - 5-year Impact Factor
    0.878 - Source Normalized Impact per Paper (SNIP)
    1.479 - SCImago Journal Rank (SJR)

    Usage 
    4,129,368 downloads

    Social Media Impact
    4446 mentions

Advertisement