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Machine Learning and Artificial Intelligence in Bioinformatics

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  1. Automatic extraction of chemical-disease relations (CDR) from unstructured text is of essential importance for disease treatment and drug development. Meanwhile, biomedical experts have built many highly-struc...

    Authors: Huiwei Zhou, Chengkun Lang, Zhuang Liu, Shixian Ning, Yingyu Lin and Lei Du

    Citation: BMC Bioinformatics 2019 20:260

    Content type: Research article

    Published on:

  2. Computational approaches for the determination of biologically-active/native three-dimensional structures of proteins with novel sequences have to handle several challenges. The (conformation) space of possibl...

    Authors: Ahmed Bin Zaman and Amarda Shehu

    Citation: BMC Bioinformatics 2019 20:211

    Content type: Research article

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  3. Long non-coding RNAs play an important role in human complex diseases. Identification of lncRNA-disease associations will gain insight into disease-related lncRNAs and benefit disease diagnoses and treatment. ...

    Authors: Xiao-Nan Fan, Shao-Wu Zhang, Song-Yao Zhang, Kunju Zhu and Songjian Lu

    Citation: BMC Bioinformatics 2019 20:87

    Content type: Research article

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  4. Modern plant taxonomy reflects phylogenetic relationships among taxa based on proposed morphological and genetic similarities. However, taxonomical relation is not necessarily reflected by close overall resemb...

    Authors: Marco Seeland, Michael Rzanny, David Boho, Jana Wäldchen and Patrick Mäder

    Citation: BMC Bioinformatics 2019 20:4

    Content type: Research article

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  5. Predicting prognosis in patients from large-scale genomic data is a fundamentally challenging problem in genomic medicine. However, the prognosis still remains poor in many diseases. The poor prognosis may be ...

    Authors: Jie Hao, Youngsoon Kim, Tae-Kyung Kim and Mingon Kang

    Citation: BMC Bioinformatics 2018 19:510

    Content type: Methodology article

    Published on: