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Table 9 The top 10 results predicted in our model based on the dataset

From: Predicting abiotic stress-responsive miRNA in plants based on multi-source features fusion and graph neural network

Rank

miRNA

Evidence

Rank

miRNA

Evidence

Cold

 1

osa-miR156k

PMID: 23,994,683

6

osa-miR171a

PMID: 23,994,683

 2

osa-miR168b

PMID: 23,994,683

7

osa-miR167b

PMID: 23,994,683

 3

osa-miR166k

PMID: 23,994,683

8

tae-miR159

PMID: 24,735,552

 4

osa-miR166m

PMID: 23,994,683

9

osa-miR167a

PMID: 23,994,683

 5

osa-miR167

DOI:10.1111/jac.12114

10

osa-miR167i

Unknown

Drought

 1

gma-miR166b

PMID: 22,112,171

6

ppt-miR1054

PMID: 21,641,561

 2

pvu-miR159

PMID: 20,591,534

7

ppt-miR1028a

PMID: 21,641,561

 3

gma-miR169d

PMID: 22,112,171

8

gma-miR397a

PMID: 21,663,675

 4

gma-miR394a

PMID: 22,112,171

9

ath-miR395c

PMID: 20,839,006

 5

ath-miR319c

PMID: 15,258,262

10

ath-miR168a

PMID: 22,938,544

Heat

 1

ptc-miR1444

PMID: 18,363,789

6

ptc-miR482

PMID: 18,363,789

 2

ptc-miR827

PMID: 18,363,789

7

ptc-miR1450

PMID: 18,363,789

 3

ptc-miR530a

PMID: 18,363,789

8

ath-miR156

PMID: 24,769,482

 4

tae-miR159

PMID: 20,573,268

9

tae-miR160

PMID: 20,573,268

 5

ath-miR156h

PMID: 24,769,482

10

ptc-miR1447

PMID: 18,363,789

Copper (Cu) deficiency

 1

ptc-miR398

PMID: 21,941,002

6

ath-miR398a

PMID: 20,400,527

 2

ath-miR408

PMID: 18,408,011

7

bna-miR399

PMID: 20,388,194

 3

ath-miR398b

PMID: 19,122,104

8

ath-miR857

PMID: 18,408,011

 4

ath-miR397

PMID: 18,408,011

9

bna-miR2111

PMID: 20,388,194

 5

ath-miR398c

PMID: 19,122,104

10

bna-miR397

PMID: 20,388,194