<p>Computational meta-analysis of transcriptome in Tetrology of Fallot reveals dysregulated hubs and pathways</p>

Sona Charles; Jeyakumar  Natarajan

doi:10.7490/f1000research.1118048.1

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Charles S and Natarajan J. Computational meta-analysis of transcriptome in Tetrology of Fallot reveals dysregulated hubs and pathways [version 1; not peer reviewed]. F1000Research 2020, 9(ISCB Comm J):730 (poster) (https://doi.org/10.7490/f1000research.1118048.1)

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Computational meta-analysis of transcriptome in Tetrology of Fallot reveals dysregulated hubs and pathways

Sona Charles, Jeyakumar Natarajan¹

Published 20 Jul 2020 (https://doi.org/10.7490/f1000research.1118048.1)

Author Affiliations

¹ Bharathiar University, India

Copyright © 2020 Charles S and Natarajan J. 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 20 Jul 2020

Computational meta-analysis of transcriptome in Tetrology of Fallot reveals dysregulated hubs and pathways
[version 1; not peer reviewed]

Sona Charles, Jeyakumar Natarajan¹

Author Affiliations

¹ Bharathiar University, India

Presented at

Bioinformatics Open Source Conference (BOSC) 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

Tetrology of Fallot, RNASeq, transcriptomics, meta-analysis, bipartite network

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