Author

B. Leong

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Plant Biology· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Organism:Arabidopsis· 2 Research Focus:differential expression· 2 Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Organism:plant (other)· 2 Assay:whole-genome sequencing· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1

Frequent Co-Authors

B. M. Moore· 2 shared C. A. Schenck· 2 shared P. Fan· 2 shared P. Wang· 2 shared R. Last· 2 shared S.-H. Shiu· 2 shared A. D. Jones· 1 shared A. Lee· 1 shared

Activity by Year

2018-2020 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 34 mutual co-author links

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2 shared papersPlant Biology

B. M. Moore

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3 papers

Recent·Most cited

Solanaceae specialized metabolism in a non-model plant: trichome acylinositol biosynthesis

B. Leong, S. M. Hurney, P. D. Fiesel, G. D. Moghe, A. D. Jones, R. L. Last

The paper identifies an enzyme involved in the final step of acylinositol biosynthesis in Solanum quitoense and shows evolutionary parallels with acylsucrose biosynthesis in Solanum lycopersicum.

bioRxiv · Mar 4, 2020Biochemistry

Within and cross species predictions of plant specialized metabolism genes using transfer learning

B. M. Moore, P. Wang, P. Fan, A. Lee, B. Leong, Y.-L. Lou, C. A. Schenck, K. Sugimoto, R. Last, M. D. Lehti-Shiu, C. Barry, S.-H. Shiu

The paper uses transfer learning to predict specialized metabolism genes in tomato by leveraging annotations from Arabidopsis thaliana, improving prediction accuracy.

bioRxiv · Jan 13, 2020Plant Biology

Robust predictions of specialized metabolism genes through machine learning

B. M. Moore, P. Wang, P. Fan, B. Leong, C. A. Schenck, J. P. Lloyd, M. Lehti-Shiu, R. Last, E. Pichersky, S.-H. Shiu

The paper develops a machine learning model to predict specialized metabolism genes in Arabidopsis thaliana by integrating multiple genomic features, achieving high accuracy in identification.

bioRxiv · Oct 15, 2018Plant Biology