Skip to main content

Volume 7 Supplement 1

Selected articles from the 3rd Translational Bioinformatics Conference (TBC/ISCB-Asia 2013)

Research

Edited by Ju Han Kim and Maricel Kann

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. Articles have undergone the journal's standard review process for supplements. The Supplement Editors declare that they have no competing interests.

The 3rd Annual Translational Bioinformatics Conference (TBC/ISCB-Asia 2013). Go to conference site.

Seoul, Korea2-4 October 2013

  2. Genome-wide transcriptome profiling generated by microarray and RNA-Seq often provides deregulated genes or pathways applicable only to larger cohort. On the other hand, individualized interpretation of transc...

    Authors: Vincent Gardeux, Ahmet D Arslan, Ikbel Achour, Tsui-Ting Ho, William T Beck and Yves A Lussier
    Citation: BMC Medical Genomics 2014 7(Suppl 1):S1
    Content type: Research Published on:

  3. The current state of the art for measuring stromal response to targeted therapy requires burdensome and rate limiting quantitative histology. Transcriptome measures are increasingly affordable and provide an o...

    Authors: Xinan Yang, Yong Huang, Younghee Lee, Vincent Gardeux, Ikbel Achour, Kelly Regan, Ellen Rebman, Haiquan Li and Yves A Lussier
    Citation: BMC Medical Genomics 2014 7(Suppl 1):S2
    Content type: Research Published on:

  4. Prostate cancer is one of the most common complex diseases with high leading cause of death in men. Identifications of prostate cancer associated genes and biomarkers are thus essential as they can gain insigh...

    Authors: Yin Li, Wanwipa Vongsangnak, Luonan Chen and Bairong Shen
    Citation: BMC Medical Genomics 2014 7(Suppl 1):S3
    Content type: Research Published on:

  8. There is increasing recognition that asthma and eczema are heterogeneous diseases. We investigated the predictive ability of a spectrum of machine learning methods to disambiguate clinical sub-groups of asthma...

    Authors: Mattia CF Prosperi, Susana Marinho, Angela Simpson, Adnan Custovic and Iain E Buchan
    Citation: BMC Medical Genomics 2014 7(Suppl 1):S7
    Content type: Research Published on:

  9. Human genome sequencing has enabled the association of phenotypes with genetic loci, but our ability to effectively translate this data to the clinic has not kept pace. Over the past 60 years, pharmaceutical c...

    Authors: Mani P Grover, Sara Ballouz, Kaavya A Mohanasundaram, Richard A George, Craig D H Sherman, Tamsyn M Crowley and Merridee A Wouters
    Citation: BMC Medical Genomics 2014 7(Suppl 1):S8
    Content type: Research Published on:

  10. Non-coding sequences such as microRNAs have important roles in disease processes. Computational microRNA target identification (CMTI) is becoming increasingly important since traditional experimental methods f...

    Authors: Shuang Wang, Jihoon Kim, Xiaoqian Jiang, Stefan F Brunner and Lucila Ohno-Machado
    Citation: BMC Medical Genomics 2014 7(Suppl 1):S9
    Content type: Research Published on:

  11. Clinical statement alone is not enough to predict the progression of disease. Instead, the gene expression profiles have been widely used to forecast clinical outcomes. Many genes related to survival have been...

    Authors: Je-Gun Joung, Dokyoon Kim, Su Yeon Lee, Hwa Jung Kang and Ju Han Kim
    Citation: BMC Medical Genomics 2014 7(Suppl 1):S10
    Content type: Research Published on:

  12. Mapping medical terms to standardized UMLS concepts is a basic step for leveraging biomedical texts in data management and analysis. However, available methods and tools have major limitations in handling quer...

    Authors: Kaiyu Ren, Albert M Lai, Aveek Mukhopadhyay, Raghu Machiraju, Kun Huang and Yang Xiang
    Citation: BMC Medical Genomics 2014 7(Suppl 1):S11
    Content type: Research Published on:

  14. Computerized alert and reminder systems have been widely accepted and applied to various patient care settings, with increasing numbers of clinical laboratories communicating critical laboratory test values to...

    Authors: Shu-Wen Lin, Wen-Yi Kang, Dong-Tsamn Lin, James Chao-Shen Lee, Fe-Lin Lin Wu, Chuen-Liang Chen and Yufeng J Tseng
    Citation: BMC Medical Genomics 2014 7(Suppl 1):S13
    Content type: Research Published on:

  15. Privacy protecting is an important issue in medical informatics and differential privacy is a state-of-the-art framework for data privacy research. Differential privacy offers provable privacy against attacker...

    Authors: Zhanglong Ji, Xiaoqian Jiang, Shuang Wang, Li Xiong and Lucila Ohno-Machado
    Citation: BMC Medical Genomics 2014 7(Suppl 1):S14
    Content type: Research Published on:
Submit manuscript

Annual Journal Metrics

  • Citation Impact 2023
    Journal Impact Factor: 2.1
    5-year Journal Impact Factor: 2.5
    Source Normalized Impact per Paper (SNIP): 0.581
    SCImago Journal Rank (SJR): 0.703

    Speed 2023
    Submission to first editorial decision (median days): 34
    Submission to acceptance (median days): 164

    Usage 2023
    Downloads: 1,335,753
    Altmetric mentions: 593

Peer-review Terminology

  • The following summary describes the peer review process for this journal:

    Identity transparency: Single anonymized

    Reviewer interacts with: Editor

    Review information published: Review reports. Reviewer Identities reviewer opt in. Author/reviewer communication

    More information is available here

Follow

Sign up for article alerts and news from this journal

BMC Medical Genomics

ISSN: 1755-8794

Contact us