Mining_RNA: WEB-Based System Using e-Science for Transcriptomic Data Mining-Reference-Cited by-同舟云学术

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Mining_RNA: WEB-Based System Using e-Science for Transcriptomic Data Mining

Published:2021 Issue: Volume: Page:1195-1203
ISSN:2569-7072
Container-title:Advances in Parallel & Distributed Processing, and Applications
language:
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Author:

Moreira Carlos Renan,Pacheco Christina,Diógenes Marcos Vinícius Pereira,Batista Pedro Victor Morais,Neto Pedro Fernandes Ribeiro,Silva Adriano Gomes da,Felipe Stela Mirla da Silva,Ceccatto Vânia Marilande,Freitas Raquel Martins de,Gurgel Thalia Katiane Sampaio,Santos Exlley Clemente dos,Maia Cynthia Moreira,Leite Thiago Alefy Almeida e Cicília Raqu

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-69984-0_85

Reference11 articles.

1. K.-C. Wong, Big data challenges in genome informatics. Biophys. Rev. 11(1), 51–54 2019. https://doi.org/10.1007/s12551-018-0493-5

2. M. Gasparovica-Ası̄te, L. Aleksejeva, Classification methodology for bioinformatics data analysis. Autom. Control. Comput. Sci. 53(1), 28–38 (2019)

3. X.M. Fernández-Suárez, E. Birney, Advanced genomic data mining. PLoS Comput. Biol. 4(9), e1000121 (2008), 18818719[pmid]. https://www.ncbi.nlm.nih.gov/pubmed/18818719

4. A. Brazma, Minimum information about a microarray experiment (miame)—successes, failures, challenges. TheScientificWorldJournal 9, 420–3 (2009)

5. Z. Wang, A. Lachmann, A. Ma’ayan, Mining data and metadata from the gene expression omnibus. Biophys. Rev. 11(1), 103–110 (2019). https://doi.org/10.1007/s12551-018-0490-8

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