Author

J. P. Lloyd

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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Cancer Biology· 1 Plant Biology· 1

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Organism:Arabidopsis· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

B. Leong· 1 shared B. M. Moore· 1 shared C. A. Schenck· 1 shared E. Pichersky· 1 shared J. Z. Li· 1 shared M. Lehti-Shiu· 1 shared M. Soellner· 1 shared P. Fan· 1 shared

Activity by Year

2019-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperPlant Biology

B. Leong

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Author profile →

2 papers

Recent·Most cited

Impact of between-tissue differences on pan-cancer predictions of drug sensitivity

J. P. Lloyd, M. Soellner, S. D. Merajver, J. Z. Li

This study evaluates how between-tissue differences affect pan-cancer drug sensitivity predictions and finds that tissue-level responses are accurately predicted, but within-tissue predictions are less successful.

PLOS Computational Biology · Feb 25, 2021Peer-reviewedCancer 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.

Proceedings of the National Academy of Sciences · Jan 23, 2019Peer-reviewedPlant Biology