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ExpressionBlast: mining large, unstructured expression databases

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Figure 1: Data processing and tool usage.

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Acknowledgements

This work was supported in part by US National Institutes of Health grant 1RO1 GM085022 and US National Science Foundation awards DBI-0965316 and I-Corps 1242525 to Z.B.-J.

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Author notes

  1. Guy E Zinman and Shoshana Naiman: These authors contributed equally to this work.

Authors and Affiliations

  1. Lane Center for Computational Biology, School of Computer Science, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA

    Guy E Zinman & Ziv Bar-Joseph

  2. The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan, Israel

    Shoshana Naiman, Yariv Kanfi & Haim Cohen

Authors
  1. Guy E Zinman
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  2. Shoshana Naiman
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  3. Yariv Kanfi
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  4. Haim Cohen
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  5. Ziv Bar-Joseph
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Corresponding author

Correspondence to Ziv Bar-Joseph.

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The authors declare no competing financial interests.

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Supplementary Text and Figure

Supplementary Figures 1 and 2, Supplementary Tables 1–4, Supplementary Results and Supplementary Methods (PDF 792 kb)

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Zinman, G., Naiman, S., Kanfi, Y. et al. ExpressionBlast: mining large, unstructured expression databases. Nat Methods 10, 925–926 (2013). https://doi.org/10.1038/nmeth.2630

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