Search Results - "Jin, Daeyong"

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  1. 1

    A computational approach to identifying gene-microRNA modules in cancer by Jin, Daeyong, Lee, Hyunju

    Published in PLoS computational biology (01-01-2015)
    “…MicroRNAs (miRNAs) play key roles in the initiation and progression of various cancers by regulating genes. Regulatory interactions between genes and miRNAs…”
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    Journal Article
  2. 2

    A Deep Learning Model Using Satellite Ocean Color and Hydrodynamic Model to Estimate Chlorophyll-a Concentration by Jin, Daeyong, Lee, Eojin, Kwon, Kyonghwan, Kim, Taeyun

    Published in Remote sensing (Basel, Switzerland) (01-05-2021)
    “…In this study, we used convolutional neural networks (CNNs)—which are well-known deep learning models suitable for image data processing—to estimate the…”
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    Journal Article
  3. 3

    FGMD: A novel approach for functional gene module detection in cancer by Jin, Daeyong, Lee, Hyunju

    Published in PloS one (15-12-2017)
    “…With the increasing availability of multi-dimensional biological datasets for the same samples (i.e., gene expression, microRNAs, copy numbers, mutations,…”
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    Journal Article
  4. 4

    Integration of MicroRNA, mRNA, and Protein Expression Data for the Identification of Cancer-Related MicroRNAs by Seo, Jiyoun, Jin, Daeyong, Choi, Chan-Hun, Lee, Hyunju

    Published in PloS one (05-01-2017)
    “…MicroRNAs (miRNAs) are responsible for the regulation of target genes involved in various biological processes, and may play oncogenic or tumor suppressive…”
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    Journal Article
  5. 5

    Application of Explainable Artificial Intelligence (XAI) in Urban Growth Modeling: A Case Study of Seoul Metropolitan Area, Korea by Kim, Minjun, Kim, Dongbeom, Jin, Daeyong, Kim, Geunhan

    Published in Land (Basel) (01-02-2023)
    “…Unplanned and rapid urban growth requires the reckless expansion of infrastructure including water, sewage, energy, and transportation facilities, and thus…”
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    Journal Article
  6. 6

    Predicting drug-target interactions using drug-drug interactions by Kim, Shinhyuk, Jin, Daeyong, Lee, Hyunju

    Published in PloS one (21-11-2013)
    “…Computational methods for predicting drug-target interactions have become important in drug research because they can help to reduce the time, cost, and…”
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    Journal Article
  7. 7

    Generalization of U-Net Semantic Segmentation for Forest Change Detection in South Korea Using Airborne Imagery by JongCheol Pyo, Kuk-jin Han, Yoonrang Cho, Doyeon Kim, Daeyong Jin

    Published in Forests (01-12-2022)
    “…Forest change detection is essential to prevent the secondary damage occurring by landslides causing profound results to the environment, ecosystem, and human…”
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    Journal Article
  8. 8

    Prioritizing cancer-related microRNAs by integrating microRNA and mRNA datasets by Jin, Daeyong, Lee, Hyunju

    Published in Scientific reports (13-10-2016)
    “…MicroRNAs (miRNAs) are small non-coding RNAs regulating the expression of target genes, and they are involved in cancer initiation and progression. Even though…”
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    Journal Article
  9. 9

    A Computational Approach to Identifying Gene-microRNA Modules in Cancer: e1004042 by Jin, Daeyong, Lee, Hyunju

    Published in PLoS computational biology (01-01-2015)
    “…MicroRNAs (miRNAs) play key roles in the initiation and progression of various cancers by regulating genes. Regulatory interactions between genes and miRNAs…”
    Get full text
    Journal Article