Bethany M Moore

Publication Activity (10 Years)

Years Active: 2019-2021
Publications (10 Years): 5

Top Topics

Arabidopsis Thaliana

Genome Wide Identification

Machine Learning

Top Venues

Molecular biology and evolution

Proceedings of the National Academy of Sciences of the United States of America

In silico plants

This page only lists publications with an associated author ORCID identifier.

Publications

Siobhan A Cusack, Peipei Wang, Serena G Lotreck, Bethany M Moore, Fanrui Meng, Jeffrey K Conner, Patrick J Krysan, Melissa D Lehti-Shiu, Shin-Han Shiu
Predictive Models of Genetic Redundancy in Arabidopsis thaliana. Molecular biology and evolution 38 (8) (2021)
Peipei Wang, Bethany M Moore, Cheng Peng, Melissa D Lehti-Shiu, Cornelius S Barry, Shin-Han Shiu
Optimising the use of gene expression data to predict plant metabolic pathway memberships. The New phytologist 231 (1) (2021)
Bethany M Moore, Peipei Wang, Pengxiang Fan, Aaron Lee, Bryan Leong, Yann-Ru Lou, Craig A Schenck, Koichi Sugimoto, Robert Last, Melissa D Lehti-Shiu, Cornelius S Barry, Shin-Han Shiu
Within- and cross-species predictions of plant specialized metabolism genes using transfer learning. In silico plants 2 (1) (2020)
Pengxiang Fan, Peipei Wang, Yann-Ru Lou, Bryan J Leong, Bethany M Moore, Craig A Schenck, Rachel Combs, Pengfei Cao, Federica Brandizzi, Shin-Han Shiu, Robert L Last
Evolution of a plant gene cluster in Solanaceae and emergence of metabolic diversity. eLife 9 (2020)
Bethany M Moore, Peipei Wang, Pengxiang Fan, Bryan J Leong, Craig A Schenck, John P Lloyd, Melissa D Lehti-Shiu, Robert L Last, Eran Pichersky, Shin-Han Shiu
Robust predictions of specialized metabolism genes through machine learning. Proceedings of the National Academy of Sciences of the United States of America 116 (6) (2019)