DEGnet: Identifying Differentially Expressed Genes Using Deep Neural Network from RNA-Seq Datasets
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-34872-4_15
Reference19 articles.
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3. Love, M.I., Huber, W., Anders, S.: Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15(12), 550 (2014)
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5. Law, C.W., Chen, Y., Shi, W., Smyth, G.K.: VOOM: precision weights unlock linear model analysis tools for RNA-seq read counts. Genome Biol. 15(2), R29 (2014)
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