Author

D. M. Ando

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

Microbiology· 2 Bioengineering· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:imaging· 3 Research Focus:cell type annotation· 2 Approach:deep learning· 2 Research Focus:drug response / drug discovery· 2 Organism:human· 2 Research Focus:batch correction / integration· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:clustering· 1

Frequent Co-Authors

W. W. Qian· 2 shared A. B. Wiltschko· 1 shared A. Narayanaswamy· 1 shared B. Aldridge· 1 shared B. K. Lee· 1 shared B. Sanchez-Lengeling· 1 shared C. Ruiz· 1 shared C. Xia· 1 shared

Activity by Year

2019-2022 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 14 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

2 shared papersBioengineering

W. W. Qian

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

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

Morphological profiling of tubercule bacilli identifies drug pathways of action

T. C. Smith, K. M. Pullen, M. C. Olson, M. E. McNellis, I. Richardson, S. Hu, J. Larkins-Ford, X. Wang, J. S. Freundlich, D. M. Ando, B. Aldridge

This paper introduces MorphEUS, a morphological profiling method that classifies drugs based on their effects on Mycobacterium tuberculosis morphology, identifying both primary and off-target pathways of action.

bioRxiv · Mar 11, 2020Microbiology

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

A machine learning approach to define antimalarial drug action from heterogeneous cell-based screens

G. W. Ashdown, M. Dimon, M. Fan, F. S.-R. Teran, K. Witmer, D. C. A. Gaboriau, Z. Armstrong, J. Hazard, D. M. Ando, J. Baum

The paper develops a semi-supervised machine learning method to classify drug-induced morphological changes in malaria parasite cultures, enabling clustering of drugs by mechanism of action.

bioRxiv · Dec 19, 2019Microbiology