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Biochemistry (1140)
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This protocol was submitted by the author(s) of the original paper via Bio-protocol's "
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Original Research Paper
Deep exploration of random forest model boosts the interpretability of machine learning studies of complicated immune responses and lung burden of nanoparticles
DOI: 10.1126/sciadv.abf4130
Science Advances , May 26, 2021
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Machine learning regression
Xiangang Hu
Fubo Yu
Original Research Paper
Deep exploration of random forest model boosts the interpretability of machine learning studies of complicated immune responses and lung burden of nanoparticles
Science Advances
, May 26, 2021
DOI:
10.1126/sciadv.abf4130
Last updated date: Jun 8, 2021
View: 356
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How to cite:
Readers should cite both the Bio-protocol article and the original research article where this protocol was used:
1. Hu, X. and Yu, F. (2021). Machine learning regression. Bio-protocol.
bio-protocol.org/prep1142
.
2. Yu, F., Wei, C., Deng, P., Peng, T. and Hu, X.(2021). Deep exploration of random forest model boosts the interpretability of machine learning studies of complicated immune responses and lung burden of nanoparticles. Science Advances 7(22). DOI:
10.1126/sciadv.abf4130
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