Author

K. Svoboda

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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Animal Behavior & Cognition· 1 Bioengineering· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Organism:mouse· 2 Assay:behavioral assay· 1 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Approach:experimental assay· 1

Frequent Co-Authors

A. Colins-Rodriguez· 1 shared A. K. Glaser· 1 shared A. K. Hempton· 1 shared B. J. Beliveau· 1 shared C. R. Stoltzfus· 1 shared D. Campagner· 1 shared D. Pettifer· 1 shared E. A. Susaki· 1 shared

Activity by Year

2018-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

A. Colins-Rodriguez

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Author profile →

3 papers

Recent·Most cited

Predictive and robust gene selection for spatial transcriptomics

I. Covert, R. Gala, T. Wang, K. Svoboda, U. Sümbül, S.-I. Lee

The paper introduces PERSIST, a deep learning framework that selects optimal gene panels for spatial transcriptomics using scRNA-seq data, improving prediction accuracy and generalization across technologies.

bioRxiv · May 13, 2022Cell Biology

A hybrid open-top light-sheet microscope for multi-scale imaging of cleared tissues

A. K. Glaser, K. W. Bishop, L. A. Barner, E. A. Susaki, S. I. Kubota, G. Gao, R. B. Serafin, P. Balaram, E. Turschak, P. R. Nicovich, H. Lai, L. A. G. Lucas, Y. Yi, E. K. Nichols, H. Huang, , J. T. C. Liu

The paper introduces a hybrid light-sheet microscope that enables versatile multi-scale imaging of cleared tissues with varying resolution, geometry, and compatibility requirements.

bioRxiv · May 6, 2020Bioengineering

Prediction of Choice from Competing Mechanosensory and Choice-Memory Cues During Active Tactile Decision Making

D. Campagner, M. H. Evans, K. Chlebikova, A. Colins-Rodriguez, M. S. Loft, S. Fox, D. Pettifer, M. D. Humphries, K. Svoboda, R. S. Petersen

This study shows that mouse choices during active tactile decision making can be predicted from mechanosensory and choice-memory signals using a novel behavioral task.

bioRxiv · Aug 29, 2018Animal Behavior & Cognition