Author

W. Greene

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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Bioengineering· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Assay:metagenomics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

A. J. Politza· 1 shared A. Roder· 1 shared E. Ghedin· 1 shared H. Liu· 1 shared H. Lu· 1 shared J. Nunez· 1 shared J. Ye· 1 shared K. Zhang· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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1 shared paperBioengineering

A. J. Politza

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2 papers

Recent·Most cited

STAMP-Based Digital CRISPR-Cas13a (STAMP-dCRISPR) for Amplification-Free Quantification of HIV-1 Plasma Viral Load

R. Nouri, Y. Jiang, A. J. Politza, T. Liu, W. Greene, J. Nunez, X. L. Lian, W. Guan

This paper develops STAMP-dCRISPR, a digital CRISPR-Cas13a method for amplification-free HIV-1 viral load quantification, showing high accuracy and speed comparable to RT-qPCR.

bioRxiv · Oct 13, 2022 · PreprintBioengineering

Accurate Virus Identification with Interpretable Raman Signatures by Machine Learning

J. Ye, Y.-T. Yeh, Y. Xue, Z. Wang, N. Zhang, H. Liu, K. Zhang, Z. Yu, A. Roder, N. P. Lopez, L. Organtini, W. Greene, S. Hafenstein, H. Lu, E. Ghedin, , S. X. Huang

This paper develops a machine learning model using Raman spectroscopy to accurately identify viruses, achieving high accuracy in classifying virus types and subtypes.

bioRxiv · Jun 4, 2021Biophysics