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Title: Feature importance network reveals novel functional relationships between biological features in Arabidopsis thaliana
Authors: Ng, Jonathan Wei Xiong
Chua, Swee Kwang
Mutwil, Marek
Keywords: Science::Biological sciences
Issue Date: 2022
Source: Ng, J. W. X., Chua, S. K. & Mutwil, M. (2022). Feature importance network reveals novel functional relationships between biological features in Arabidopsis thaliana. Frontiers in Plant Science, 13, 944992-.
Project: MOE2018-T2-2-053
Journal: Frontiers in Plant Science
Abstract: Understanding how the different cellular components are working together to form a living cell requires multidisciplinary approaches combining molecular and computational biology. Machine learning shows great potential in life sciences, as it can find novel relationships between biological features. 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. We demonstrate how FIN can be used to generate novel insights into gene function. To make this network easily accessible to the scientific community, we present the FINder database, available at
ISSN: 1664-462X
DOI: 10.3389/fpls.2022.944992
Schools: School of Biological Sciences 
Rights: © 2022 Ng, Chua and Mutwil. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SBS Journal Articles

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