Author

P. Townsend

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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Ecology· 2 Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:ecology & biodiversity· 2 Assay:imaging· 2 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:metabolomics· 1

Frequent Co-Authors

A. Singh· 2 shared A. Zare· 2 shared B. Weinstein· 2 shared L. Magee· 2 shared S. Bohlman· 2 shared S. Marconi· 2 shared A. Hofer· 1 shared A.-S. Egger· 1 shared

Activity by Year

2022-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersEcology

A. Singh

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Author profile →

3 papers

Recent·Most cited

Automated liquid handling extraction and rapid quantification of underivatized amino acids and tryptophan metabolites from human serum and plasma using dual-column U(H)PLC-MRM-MS and its application to prostate cancer study.

T. Kipura, M. Hotze, A. Hofer, A.-S. Egger, L. E. Timpen, C. Opitz, P. Townsend, L. Gethings, K. Thedieck, M. Kwiatkowski

The paper develops an automated workflow and dual-column U(H)PLC-MRM-MS method to rapidly quantify amino acids and tryptophan metabolites in human serum and plasma, applied to a prostate cancer study to identify biomarkers.

Metabolites · Jun 30, 2024Peer-reviewedBiochemistry

Individual tree crown maps for the National Ecological Observatory Network

B. Weinstein, S. Marconi, A. Zare, S. Bohlman, A. Singh, S. J. Graves, L. Magee, D. J. Johnson, S. Record, V. E. Rubio, N. G. Swenson, T. Veblen, P. Townsend, R. A. Andrus, E. P. White

The paper uses computer vision and deep neural networks to predict individual tree species, crown characteristics, and locations across 24 sites in the National Ecological Observatory Network.

bioRxiv · Oct 25, 2023Ecology

Capturing long-tailed individual tree diversity using an airborne multi-temporal hierarchical model

B. Weinstein, S. Marconi, S. Graves, A. Zare, A. Singh, S. Bohlman, L. Magee, D. Johnson, P. Townsend, E. White

The paper develops a multi-temporal hierarchical model to improve rare tree species classification in airborne imagery, achieving 75% accuracy for 14 species and generating species maps for over 670,000 trees.

bioRxiv · Dec 7, 2022 · PreprintEcology