Author

D. M. Reif

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

Biology Disciplines

Click to filter author papers

Pharmacology & Toxicology· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:behavioral assay· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:ecology & biodiversity· 1 Approach:experimental assay· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. J. Green· 1 shared C. Leong· 1 shared E. S. Baker· 1 shared H. Nguyen· 1 shared J. Fleming· 1 shared K. I. Kirkwood· 1 shared L. Truong· 1 shared M. Hancock· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperPharmacology & Toxicology

A. J. Green

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies

A. J. Green, L. Truong, P. Thunga, C. Leong, M. Hancock, R. L. Tanguay, D. M. Reif

This paper demonstrates that deep autoencoders outperform traditional statistical methods in detecting abnormal behavior in zebrafish exposed to toxicants.

bioRxiv · Sep 13, 2023Pharmacology & Toxicology

Utilizing Pine Needles to Temporally and Spatially Profile Per- and Polyfluoroalkyl Substances

K. I. Kirkwood, J. Fleming, H. Nguyen, D. M. Reif, E. S. Baker, S. M. Belcher

This study uses pine needles and a non-targeted method to detect over 70 PFAS across six decades, revealing temporal and spatial patterns of exposure and contamination.

bioRxiv · Aug 24, 2021Pharmacology & Toxicology