Author

Rebecca Chen

University of Illinois Urbana-ChampaignORCID 0000-0002-7091-1905Unclaimed ORCID profile · follow to get notified of new preprints

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Rebecca Chen1 paper · University of California, San Francisco

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:dimensionality reduction· 1 Organism:human· 1 Research Focus:imputation· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Lav R. VarshneyiD· 2 shared Abhinav Das· 1 shared

Activity by Year

2019-2021 · peak 1/yr

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2 top collaborators · 1 mutual co-author link

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2 shared papersBioinformatics

Lav R. VarshneyORCID

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2 papers

Recent·Most cited

BioinformaticsIEEE Open Journal of Signal ProcessingPeer-reviewedJan 1, 2021

Optimal recovery of missing values for non-negative matrix factorization

Rebecca Chen, Lav R. Varshney

This paper develops an algorithm for imputing missing values in non-negative matrix factorization, showing it performs as well as or better than existing methods.

2 citations

statistical modelimputation

BioinformaticsConference on Information Sciences and SystemsPeer-reviewedMar 1, 2019

Registration for Image-Based Transcriptomics: Parametric Signal Features and Multivariate Information Measures

Rebecca Chen, Abhinav Das, Lav R. Varshney

The paper introduces a novel image registration method for image-based transcriptomics using parametric signal features and multivariate information measures.

4 citations

humanspatial transcriptomics