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    Feature importance network reveals novel functional relationships between biological features in Arabidopsis thaliana by Ng, Jonathan Wei Xiong, Chua, Swee Kwang, Mutwil, Marek

    Published 2023
    “…Here, we constructed a dataset of 11,801 gene features for 31,522 Arabidopsis thaliana genes and developed a machine learning workflow to identify linked features. The detected linked features are visualised as a Feature Important Network (FIN), which can be mined to reveal a variety of novel biological insights pertaining to gene function. …”
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    Journal Article
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