Bias, robustness and scalability in single-cell differential expression analysis

386 indexed citations

Abstract

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About

This paper, published in 2018, received 386 indexed citations. Written by Charlotte Soneson and Mark D. Robinson covering the research area of Molecular Biology and Cancer Research. It is primarily cited by scholars working on Molecular Biology (323 citations), Cancer Research (108 citations) and Immunology (85 citations). Published in Nature Methods.

Countries where authors are citing Bias, robustness and scalability in single-cell differential expression analysis

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Fields of papers citing Bias, robustness and scalability in single-cell differential expression analysis

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Bias, robustness and scalability in single-cell differential expression analysis. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Bias, robustness and scalability in single-cell differential expression analysis.

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This paper is also available at doi.org/10.1038/nmeth.4612.

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