<p>Single cell expression data as a direct measure for identifying human genes that escape X-inactivation</p>

Kerem Wainer Katsir; Michal Linial

doi:10.7490/f1000research.1113069.1

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Wainer Katsir K and Linial M. Single cell expression data as a direct measure for identifying human genes that escape X-inactivation [version 1; not peer reviewed]. F1000Research 2016, 5:2232 (poster) (https://doi.org/10.7490/f1000research.1113069.1)

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Single cell expression data as a direct measure for identifying human genes that escape X-inactivation

Kerem Wainer Katsir¹, Michal Linial

Published 06 Sep 2016 (https://doi.org/10.7490/f1000research.1113069.1)

Author Affiliations

¹ The Hebrew University of Jerusalem, Israel

Copyright © 2016 Wainer Katsir K and Linial M. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 06 Sep 2016

Single cell expression data as a direct measure for identifying human genes that escape X-inactivation
[version 1; not peer reviewed]

Kerem Wainer Katsir¹, Michal Linial

Author Affiliations

¹ The Hebrew University of Jerusalem, Israel

Presented at

15th European Conference on Computational Biology (ECCB) 2016

Abstract

Competing Interests

No competing interests were disclosed

Keywords

X-inactivation, escapees, single-cell, transcriptomics, RNA-seq

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