Author

Maxim Zaslavsky

Icahn School of Medicine at Mount SinaiORCID 0000-0003-4300-7854Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:Bayesian inference· 1 Assay:bulk RNA-seq· 1 Research Focus:deconvolution· 1 Organism:human· 1

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Eliza ChangiD· 1 shared Jacqueline L. BurosiD· 1 shared Jeff HammerbacheriD· 1 shared

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2017-2017 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperBioinformatics

Eliza ChangORCID

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1 paper

Recent·Most cited

BioinformaticsbioRxivPreprintNov 21, 2017

Infino: a Bayesian hierarchical model improves estimates of immune infiltration into tumor microenvironment

Maxim Zaslavsky, Jacqueline L. Buros, Eliza Chang, Jeff Hammerbacher

Infino improves immune infiltration estimates in tumor microenvironments by using a Bayesian hierarchical model to deconvolve bulk RNA-seq data and enhance accuracy.

3 citations

humanbulk RNA-seq

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