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The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data

Open access
Racle, Julien, de Jonge, Kaat, Baumgaertner, Petra, Speiser, Daniel E, Gfeller, David·2017·eLife

Abstract

Immune cells infiltrating tumors can have important impact on tumor progression and response to therapy. We present an efficient algorithm to simultaneously estimate the fraction of cancer and immune cell types from bulk tumor gene expression data. Our method integrates novel gene expression profiles from each major non-malignant cell type found in tumors, renormalization based on cell-type-specific mRNA content, and the ability to consider uncharacterized and possibly highly variable cell types. Feasibility is demonstrated by validation with flow cytometry, immunohistochemistry and single-cell RNA-Seq analyses of human melanoma and colorectal tumor specimens. Altogether, our work not only improves accuracy but also broadens the scope of absolute cell fraction predictions from tumor gene expression data, and provides a unique novel experimental benchmark for immunogenomics analyses in cancer research (http://epic.gfellerlab.org).

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Metadata

Authors
Racle, J., de Jonge, K., Baumgaertner, P., Speiser, D. E., & Gfeller, D.
Venue
eLife
Published
2017-11-13
Volume
6
ISSN
2050-084X (ISSN-L)
OpenAlex
W2600132724
Cited by
1,384
References
19
FWCI
12.42
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data. https://app.cochat.ai/papers/10.7554/elife.26476
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Racle, J., de Jonge, K., Baumgaertner, P., Speiser, D. E., & Gfeller, D. (2017). Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data. eLife. https://doi.org/10.7554/elife.26476

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