Author

Lauren Hsu

Harvard UniversityORCID 0000-0002-6035-7381Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Approach:statistical model· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:dimensionality reduction· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Assay:multiome· 1

Frequent Co-Authors

Aedín C. CulhaneiD· 1 shared Anis IsmailiD· 1 shared Chen CheniD· 1 shared Derrick K. DeContiiD· 1 shared Enakshi SahaiD· 1 shared Ian GallagheriD· 1 shared John F QuackenbushiD· 1 shared Jonas FischeriD· 1 shared

Activity by Year

2023-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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1 shared paperBioinformatics

Aedín C. CulhaneORCID

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2 papers

Recent·Most cited

Large Scale and Stable Graph Differential Analysis via Multi-Layer Node Embeddings and Ranking

Panagiotis Mandros, Ian Gallagher, Viola Fanfani, Chen Chen, Jonas Fischer, Anis Ismail, Lauren Hsu, Enakshi Saha, Derrick K. DeConti, John F Quackenbush

This paper introduces node2vec2rank, a method for graph differential analysis that identifies biologically relevant differences between weighted networks in cancer subtypes and single-cell dynamics.

bioRxiv · Jun 16, 2024 · PreprintBioinformatics

Correspondence analysis for dimension reduction, batch integration, and visualization of single-cell RNA-seq data

Lauren L. Hsu, Aedín C. Culhane

This paper introduces correspondence analysis (CA) as an alternative to PCA for scRNA-seq data, showing it outperforms existing methods in 8 out of 9 datasets.

Scientific Reports · Jan 21, 2023Peer-reviewedBioinformatics