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Integration of Cross Species RNA-seq Meta-Analysis and Machine-Learning Models Identifies the Most Important Salt Stress–Responsive Pathways in Microalga Dunaliella

Panahi, Bahman, Frahadian, Mohammad, Dums, Jacob T., Hejazi, Mohammad Amin·2019·Frontiers in Genetics
DOI 10.3389/fgene.2019.00752PMC PMC6727038
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  • Panahi et al. (2019) combined RNA-seq meta-analysis with supervised ML to explore salt stress responses of Dunaliella salina and D. tertiolecta, identifying core meta-genes linked to lipid and nitrogen metabolism, photosynthetic apparatus proteins, autophagy, and ROS-related pathways.

    “Panahi et al. (2019) [41] combined RNA-seq meta-analysis with supervised ML to explore the salt stress responses of Dunaliella salina and Dunaliella tertiolecta. Using Fisher’s p-value combination for cross-species analysis, the study identified core meta-genes linked to lipid and nitrogen metabolism, photosynthetic apparatus proteins, autophagy, and ROS-related pathways.”

    From Harnessing Artificial Intelligence to Revolutionize Microalgae Biotechnology: Unlocking Sustainable Solutions for High-Value Compounds and Carbon Neutrality (2025) · cites this paper as [41]

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Authors
Panahi, B., Frahadian, M., Dums, J. T., & Hejazi, M. A.
Venue
Frontiers in Genetics
Publisher
Frontiers Media SA
Published
2019-08-29
Volume
10
ISSN
1664-8021
DOI
10.3389/fgene.2019.00752
PMC
PMC6727038
Cited by
79
References
0
Licence
creativecommons.org/licenses/by/4.0/ (vor)

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