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ADAPTS: Automated Deconvolution Augmentation of Profiles for Tissue Specific cells

Samuel A Danziger, David L Gibbs, Ilya Shmulevich, Mark McConnell, Matthew WB Trotter, Frank Schmitz, David J Reiss, Alexander V Ratushny
doi: https://doi.org/10.1101/633958
Samuel A Danziger
1Celgene, Seattle WA, 98109, USA
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  • For correspondence: sdanziger@celgene.com
David L Gibbs
2Institute for System Biology, Seattle WA, 98109, USA
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Ilya Shmulevich
2Institute for System Biology, Seattle WA, 98109, USA
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Mark McConnell
1Celgene, Seattle WA, 98109, USA
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Matthew WB Trotter
1Celgene, Seattle WA, 98109, USA
3Celgene Institute for Translational Research Europe, Sevilla 41092, Spain
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Frank Schmitz
1Celgene, Seattle WA, 98109, USA
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David J Reiss
1Celgene, Seattle WA, 98109, USA
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Alexander V Ratushny
1Celgene, Seattle WA, 98109, USA
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  • For correspondence: sdanziger@celgene.com
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Abstract

Summary Immune cell infiltration of tumors can be an important component for determining patient outcomes, e.g. by inferring immune cell presence by deconvolving gene expression data drawn from a heterogenous mix of cell types. ADAPTS aids deconvolution by adding custom cell types to existing cell-type signature matrices or building new matrices de novo. This R package builds a custom signature matrix from purified cell type gene expression data by automatically determining genes that uniquely identify each cell type. The package includes functions that call deconvolution algorithms which use the custom signature matrix to estimate the proportion of cell types present in heterogenous samples.

Availability The R packages ADAPTS, ADAPTSdata, ADAPTSdata2 are at GitHub (https://github.com/sdanzige/ADAPTS, etc.) and eventually will be available on CRAN

Contact sdanziger{at}celgene.com, aratushny{at}celgene.com

Preprint A preprint is available on BiorXiv (www.biorxiv.org/content/10.1101/633958v1)

Footnotes

  • This version points to the GitHub version of the code to use while the CRAN submission is pending.

  • https://github.com/sdanzige/ADAPTS

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted May 15, 2019.
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ADAPTS: Automated Deconvolution Augmentation of Profiles for Tissue Specific cells
Samuel A Danziger, David L Gibbs, Ilya Shmulevich, Mark McConnell, Matthew WB Trotter, Frank Schmitz, David J Reiss, Alexander V Ratushny
bioRxiv 633958; doi: https://doi.org/10.1101/633958
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ADAPTS: Automated Deconvolution Augmentation of Profiles for Tissue Specific cells
Samuel A Danziger, David L Gibbs, Ilya Shmulevich, Mark McConnell, Matthew WB Trotter, Frank Schmitz, David J Reiss, Alexander V Ratushny
bioRxiv 633958; doi: https://doi.org/10.1101/633958

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