Author

W. W. Qian

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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Cell Biology· 2 Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 2 Research Focus:batch correction / integration· 1 Research Focus:cell signaling & trafficking· 1 Approach:contrastive learning· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Approach:graph neural network· 1 Organism:human· 1

Frequent Co-Authors

D. M. Ando· 2 shared J. Peng· 2 shared A. B. Wiltschko· 1 shared A. Carpenter· 1 shared A. Narayanaswamy· 1 shared A.-C. Gingras· 1 shared B. Cimini· 1 shared B. K. Lee· 1 shared

Activity by Year

2020-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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2 shared papersBioengineering

D. M. Ando

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Pervasive mislocalization of pathogenic coding variants underlying human disorders

J. Lacoste, M. Haghighi, S. Haider, Z.-Y. Lin, D. Segal, C. Reno, W. W. Qian, X. Xiong, H. Shafqat-Abbasi, P. Ryder, R. Senft, B. Cimini, F. Roth, M. Calderwood, D. Hill, , M. Taipale

The paper develops a high-throughput imaging platform to assess the functional impact of missense variants on protein localization, finding that mislocalization is common in pathogenic variants.

bioRxiv · Sep 5, 2023Cell Biology

A deep learning and digital archaeology approach for mosquito repellent discovery

J. N. Wei, C. Ruiz, M. Vlot, B. Sanchez-Lengeling, B. K. Lee, L. Berning, M. W. Vos, R. W. Henderson, W. W. Qian, D. M. Ando, K. M. Groetsch, R. C. Gerkin, A. B. Wiltschko, J. A. Riffell, K. J. Dechering

The paper uses a deep learning approach to discover novel mosquito repellents by training a graph neural network on historical data and testing candidates in behavioral assays.

bioRxiv · Sep 1, 2022Bioengineering

Batch Equalization with a Generative Adversarial Network

W. W. Qian, C. Xia, S. Venugopalan, A. Narayanaswamy, J. Peng, D. M. Ando

This paper develops a GAN-based method to reduce batch effects in image data by transferring images between batches while preserving biological features.

bioRxiv · Feb 7, 2020Cell Biology