Assessing Inequality in Transcriptomic Data

Lan Jiang¹, Daphne Tsoucas², Guo-Cheng Yuan³

Affiliations

¹ Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA; Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA 02115, USA; Division of Hematology/Oncology, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA.
² Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
³ Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA. Electronic address: gcyuan@jimmy.harvard.edu.

PMID: 29494801
DOI: 10.1016/j.cels.2018.02.007

Free article

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Assessing Inequality in Transcriptomic Data

Lan Jiang et al. Cell Syst. 2018.

Free article

. 2018 Feb 28;6(2):149-150.

doi: 10.1016/j.cels.2018.02.007.

Authors

Lan Jiang¹, Daphne Tsoucas², Guo-Cheng Yuan³

Affiliations

¹ Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA; Program in Cellular and Molecular Medicine, Boston Children's Hospital, Boston, MA 02115, USA; Division of Hematology/Oncology, Department of Pediatrics, Boston Children's Hospital, Boston, MA 02115, USA.
² Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA.
³ Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA. Electronic address: gcyuan@jimmy.harvard.edu.

PMID: 29494801
DOI: 10.1016/j.cels.2018.02.007

Abstract

Two studies in this issue of Cell Systems use the Gini index from economics to benchmark and quantify gene expression heterogeneity in single-cell or bulk RNA-seq datasets.

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GeneGini: Assessment via the Gini Coefficient of Reference "Housekeeping" Genes and Diverse Human Transporter Expression Profiles.
O'Hagan S, Wright Muelas M, Day PJ, Lundberg E, Kell DB. O'Hagan S, et al. Cell Syst. 2018 Feb 28;6(2):230-244.e1. doi: 10.1016/j.cels.2018.01.003. Epub 2018 Feb 7. Cell Syst. 2018. PMID: 29428416 Free PMC article.
Rare Cell Detection by Single-Cell RNA Sequencing as Guided by Single-Molecule RNA FISH.
Torre E, Dueck H, Shaffer S, Gospocic J, Gupte R, Bonasio R, Kim J, Murray J, Raj A. Torre E, et al. Cell Syst. 2018 Feb 28;6(2):171-179.e5. doi: 10.1016/j.cels.2018.01.014. Epub 2018 Feb 14. Cell Syst. 2018. PMID: 29454938 Free PMC article.

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Assessing Inequality in Transcriptomic Data

Affiliations

Assessing Inequality in Transcriptomic Data

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Abstract

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