• Title/Summary/Keyword: biological

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Biological Feature Selection and Disease Gene Identification using New Stepwise Random Forests

  • Hwang, Wook-Yeon
    • Industrial Engineering and Management Systems
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    • v.16 no.1
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    • pp.64-79
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    • 2017

  • Identifying disease genes from human genome is a critical task in biomedical research. Important biological features to distinguish the disease genes from the non-disease genes have been mainly selected based on traditional feature selection approaches. However, the traditional feature selection approaches unnecessarily consider many unimportant biological features. As a result, although some of the existing classification techniques have been applied to disease gene identification, the prediction performance was not satisfactory. A small set of the most important biological features can enhance the accuracy of disease gene identification, as well as provide potentially useful knowledge for biologists or clinicians, who can further investigate the selected biological features as well as the potential disease genes. In this paper, we propose a new stepwise random forests (SRF) approach for biological feature selection and disease gene identification. The SRF approach consists of two stages. In the first stage, only important biological features are iteratively selected in a forward selection manner based on one-dimensional random forest regression, where the updated residual vector is considered as the current response vector. We can then determine a small set of important biological features. In the second stage, random forests classification with regard to the selected biological features is applied to identify disease genes. Our extensive experiments show that the proposed SRF approach outperforms the existing feature selection and classification techniques in terms of biological feature selection and disease gene identification.

  • https://doi.org/10.7232/iems.2017.16.1.064 인용 PDF

New Records of Aspergillus allahabadii and Penicillium sizovae from Crop Field Soil in Korea

  • Tagele, Setu Bazie;Adhikari, Mahesh;Gurung, Sun Kumar;Lee, Hyun Gu;Kim, Sang Woo;Kim, Hyun Seung;Ju, Han Jun;Gwon, Byeong Heon;Kosol, San;Lee, Hyang Burm;Lee, Youn Su
    • Mycobiology
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    • v.46 no.4
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    • pp.297-304
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    • 2018

  • Two new records of Trichocomaceae, namely Aspergillus allahabadii and Penicillium sizovae, were isolated in 2016 during a survey of fungal diversity in different crop fields locations in Gyeongnam, Korea. These species were identified based on morphological characters and phylogenetic analysis using internal transcribed spacer region and ${\beta}-tubulin$-encoding gene sequence data. A. allahabadii and P. sizovae have not yet been reported in Korea. Thus, this is the first report of these species in Korea, and their descriptions as well as details of their morphological characters are presented.

  • https://doi.org/10.1080/12298093.2018.1538069 인용 PDF KSCI

Erratum to: Identification of a New Agar-hydrolyzing Bacterium Vibrio sp. S4 from the Seawater of Jeju Island and the Biochemical Characterization of Thermostable Agarose (Erratum to: 제주도 연안 해양에서 분리한 한천분해 미생물 Vibrio sp. S4의 동정 및 내열성 agarase의 생화학적 특성)