Author

Meia Alsup

Stanford Medicine

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Bioinformatics· 1

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Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Organism:human· 1 Approach:statistical model· 1

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Andrew Tam· 1 shared Edgar G. EnglemaniD· 1 shared Erika BongeniD· 1 shared Francesco VallaniaiD· 1 shared Mark M. DavisiD· 1 shared Michael N. AlonsoiD· 1 shared Purvesh KhatriiD· 1 shared Shane Lofgren· 1 shared

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Andrew Tam

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1 paper

Recent·Most cited

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

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