Author

Erika Bongen

Stanford MedicineORCID 0000-0001-8429-7742Unclaimed ORCID profile · follow to get notified of new preprints

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Erika Bongen1 paper

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:clustering· 1 Research Focus:deconvolution· 1 Research Focus:differential expression· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Francesco VallaniaiD· 2 shared Purvesh KhatriiD· 2 shared Shane Lofgren· 2 shared Andrew Tam· 1 shared Charles LiuiD· 1 shared Edgar G. EnglemaniD· 1 shared Gregory L. Gaskin· 1 shared Mark M. DavisiD· 1 shared

Activity by Year

2017-2018 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 mutual co-author links

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2 shared papersBioinformatics

Francesco VallaniaORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 16, 2018

Integrated molecular, clinical, and ontological analysis identifies overlooked disease relationships

Winston A. Haynes, Rohit Vashisht, Francesco Vallania…·Purvesh Khatri

The paper integrates transcriptome and clinical data to identify overlooked disease relationships, such as between myositis and interstitial cystitis.

9 citations

humanbulk RNA-seq

𝕏 PostBluesky

BioinformaticsbioRxivPreprintOct 20, 2017

Leveraging heterogeneity across multiple data sets increases accuracy of cell-mixture deconvolution and reduces biological and technical biases

Francesco Vallania, Andrew Tam, Shane Lofgren…·Purvesh Khatri

This paper introduces immunoStates, a basis matrix that reduces biological and technical biases in cell-mixture deconvolution by incorporating diverse disease states and microarray platforms.

12 citations

humanbulk RNA-seq

𝕏 PostBluesky