Author

P. J. Krysan

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Evolutionary Biology· 1

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Organism:Arabidopsis· 1 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

B. M. Moore· 1 shared F. Meng· 1 shared J. K. Conner· 1 shared M. D. Lehti-Shiu· 1 shared P. Wang· 1 shared S. A. Cusack· 1 shared S.-H. Shiu· 1 shared

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2020-2020 · peak 1/yr

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1 shared paperEvolutionary Biology

B. M. Moore

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1 paper

Recent·Most cited

Genome-wide predictions of genetic redundancy in Arabidopsis thaliana

S. A. Cusack, P. Wang, B. M. Moore, F. Meng, J. K. Conner, P. J. Krysan, M. D. Lehti-Shiu, S.-H. Shiu

This study develops a machine learning model to predict genetic redundancy in Arabidopsis thaliana using diverse features, identifying key predictors like recent duplication and stress-related expression.

bioRxiv · Aug 13, 2020 · PreprintEvolutionary Biology