Author

Florian Wagner

Primary ORCID profile (0000-0001-7639-3486 · 5 papers)Unclaimed ORCID profile · follow to get notified of new preprints

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Same name, identified by ORCID

Florian WagneriD5 papers · NYU Langone Health

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:statistical model· 1

Activity by Year

2015-2015 · peak 1/yr

1 paper

Recent·Most cited

BioinformaticsbioRxivMay 5, 2015

GO-PCA: An Unsupervised Method to Explore Biological Heterogeneity Based on Gene Expression and Prior Knowledge

GO-PCA integrates gene ontology knowledge with PCA to uncover biological heterogeneity in gene expression data, revealing previously undetected patterns in glioblastoma subtypes.

DOI 10.1371/journal.pone.0143196

humanbulk RNA-seq

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