Reconstruction Set Test (RESET): A computationally efficient method for single sample gene set testing based on randomized reduced rank reconstruction error

H. Robert Frost

doi:10.1371/journal.pcbi.1012084

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Open Access

Peer-reviewed

Research Article

Reconstruction Set Test (RESET): A computationally efficient method for single sample gene set testing based on randomized reduced rank reconstruction error

H. Robert Frost

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: rob.frost@dartmouth.edu

Affiliation Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, United States of America

https://orcid.org/0000-0002-6794-9945

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Reconstruction Set Test (RESET): A computationally efficient method for single sample gene set testing based on randomized reduced rank reconstruction error

H. Robert Frost

Published: April 29, 2024
https://doi.org/10.1371/journal.pcbi.1012084

About the Authors

H. Robert Frost

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: rob.frost@dartmouth.edu

Affiliation Department of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire, United States of America

https://orcid.org/0000-0002-6794-9945

Competing Interests

The authors have declared that no competing interests exist.

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Algorithms
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Simulation and modeling
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Gene expression
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Blood
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B cells
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Transcriptome analysis
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Principal component analysis
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Singular value decomposition
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