Table3_Using single-sample networks and genetic algorithms to identify radiation-responsive genes in rice affected by heavy ions of the galactic cosmic radiation with different LET values.xlsx

Table3_Using single-sample networks and genetic algorithms to identify radiation-responsive genes in rice affected by heavy ions of the galactic cosmic radiation with different LET values.xlsx

Introduction<p>Heavy ions of the galactic cosmic radiation dominate the radiation risks and biological effects for plants under spaceflight conditions. However, the biological effects and sensitive genes caused by heavy ions with different linear energy transfer (LET) values have not been thor...

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Main Author: Yan Zhang (8098) (author)
Other Authors: Wei Wang (17594) (author), Meng Zhang (154027) (author), Binquan Zhang (20143662) (author), Shuai Gao (415582) (author), Meng Hao (6004457) (author), Dazhuang Zhou (20143665) (author), Lei Zhao (144153) (author), Guenther Reitz (20143668) (author), Yeqing Sun (704712) (author)
Published: 2024
Subjects:
Botany
Plant Biology
Plant Systematics and Taxonomy
Plant Cell and Molecular Biology
Plant Developmental and Reproductive Biology
Plant Pathology
Plant Physiology
Plant Biology not elsewhere classified
spaceflight
space radiation
heavy ions
linear energy transfer
LET regression model
gene interaction pattern
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