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Volume 11 Supplement 6

Proceedings of the 29th International Conference on Genome Informatics (GIW 2018): medical genomics

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 were not involved in the review process of their own authored papers. The Supplement Editors declare that they have no other competing interests.

Yunnan, China3-5 December 2018

Edited by Hsien-Da Huang and Yun Zheng

  1. Forty-two percent of patients experience disease comorbidity, contributing substantially to mortality rates and increased healthcare costs. Yet, the possibility of underlying shared mechanisms for diseases rem...

    Authors: Haiquan Li, Jungwei Fan, Francesca Vitali, Joanne Berghout, Dillon Aberasturi, Jianrong Li, Liam Wilson, Wesley Chiu, Minsu Pumarejo, Jiali Han, Colleen Kenost, Pradeep C. Koripella, Nima Pouladi, Dean Billheimer, Edward J. Bedrick and Yves A. Lussier
    Citation: BMC Medical Genomics 2018 11(Suppl 6):112
    Content type: Research Published on:

  2. Current knowledge and data on miRNA-lncRNA interactions is still limited and little effort has been made to predict target lncRNAs of miRNAs. Accumulating evidences suggest that the interaction patterns betwee...

    Authors: Zhi-An Huang, Yu-An Huang, Zhu-Hong You, Zexuan Zhu and Yiwen Sun
    Citation: BMC Medical Genomics 2018 11(Suppl 6):113
    Content type: Research Published on:

  3. Recent studies demonstrated that long non-coding RNAs (lncRNAs) could be intricately implicated in cancer-related molecular networks, and related to cancer occurrence, development and prognosis. However, clini...

    Authors: Jun Wang, Xuan Zhang, Wen Chen, Jing Li and Changning Liu
    Citation: BMC Medical Genomics 2018 11(Suppl 6):114
    Content type: Research Published on:

  4. Gene co-expression network (GCN) mining is a systematic approach to efficiently identify novel disease pathways, predict novel gene functions and search for potential disease biomarkers. However, few studies h...

    Authors: Shunian Xiang, Zhi Huang, Tianfu Wang, Zhi Han, Christina Y. Yu, Dong Ni, Kun Huang and Jie Zhang
    Citation: BMC Medical Genomics 2018 11(Suppl 6):115
    Content type: Research Published on:

  6. Human cancers are complex ecosystems composed of cells with distinct molecular signatures. Such intratumoral heterogeneity poses a major challenge to cancer diagnosis and treatment. Recent advancements of sing...

    Authors: Yanglan Gan, Ning Li, Guobing Zou, Yongchang Xin and Jihong Guan
    Citation: BMC Medical Genomics 2018 11(Suppl 6):117
    Content type: Research Published on:

  7. Gene expression-based profiling has been used to identify biomarkers for different breast cancer subtypes. However, this technique has many limitations. IsomiRs are isoforms of miRNAs that have critical roles ...

    Authors: Chaowang Lan, Hui Peng, Eileen M. McGowan, Gyorgy Hutvagner and Jinyan Li
    Citation: BMC Medical Genomics 2018 11(Suppl 6):118
    Content type: Research Published on:

  8. Identification of cancer subtypes is of great importance to facilitate cancer diagnosis and therapy. A number of methods have been proposed to integrate multi-sources data to identify cancer subtypes in recent...

    Authors: Yang Guo, Yang Qi, Zhanhuai Li and Xuequn Shang
    Citation: BMC Medical Genomics 2018 11(Suppl 6):119
    Content type: Research Published on:

  9. Long noncoding RNAs (lncRNAs) are widely involved in the initiation and development of cancer. Although some computational methods have been proposed to identify cancer-related lncRNAs, there is still a demand...

    Authors: Xuan Zhang, Jun Wang, Jing Li, Wen Chen and Changning Liu
    Citation: BMC Medical Genomics 2018 11(Suppl 6):120
    Content type: Research Published on:
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  • Citation Impact 2023
    Journal Impact Factor: 2.1
    5-year Journal Impact Factor: 2.5
    Source Normalized Impact per Paper (SNIP): 0.581
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BMC Medical Genomics

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