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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

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
  9. 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
  10. 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

Annual Journal Metrics

  • 2022 Citation Impact
    2.7 - 2-year Impact Factor
    3.2 - 5-year Impact Factor
    0.730 - SNIP (Source Normalized Impact per Paper)
    0.892 - SJR (SCImago Journal Rank)

    2023 Speed
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