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GENOME INFORMATICS

Extracting insights from heterogeneous tissues

Nature Computational Science volume 1, pages 247–248 (2021)Cite this article

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A limitation of data obtained from RNA-seq experiments is the presence of different types of cell expression, making it difficult to identify the contribution of cell-type composition or cell-type-specific expression. A new study addresses this problem by proposing a method for cell-type-aware analysis of RNA-seq data.

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Fig. 1: Interpreting gene expression differences in mixed samples.

References

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Authors and Affiliations

  1. Faculty of Biology, Technion-Israel Institute of Technology, Haifa, Israel

    Dvir Aran

  2. The Taub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel

    Dvir Aran

  3. Lorry I. Lokey Interdisciplinary Center for Life Sciences and Engineering, Technion-Israel Institute of Technology, Haifa, Israel

    Dvir Aran

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  1. Dvir Aran
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Correspondence to Dvir Aran.

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The author declares no competing interests.

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Aran, D. Extracting insights from heterogeneous tissues. Nat Comput Sci 1, 247–248 (2021). https://doi.org/10.1038/s43588-021-00061-8

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