Author

Natalie S. Fox

Ontario Institute for Cancer ResearchORCID 0009-0001-7149-893XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 4

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Approach:statistical model· 3 Assay:bulk RNA-seq· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1

Frequent Co-Authors

Paul Christopher BoutrosiD· 4 shared Syed Aleem HaideriD· 2 shared Abdullah KahramaniD· 1 shared Abel González-PéreziD· 1 shared Aileen LuiD· 1 shared Alexander Martinez‐FundichelyiD· 1 shared Amanda Murdoch· 1 shared Amin ZiaiD· 1 shared

Activity by Year

2018-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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4 shared papersBioinformatics

Paul Christopher BoutrosORCID

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4 papers

Recent·Most cited

BioinformaticsbioRxivPreprintMay 13, 2021

iSubGen: Integrative Subtype Generation by Pairwise Similarity Assessment

Natalie S. Fox, Syed Aleem Haider, Constance H. Li, Paul Christopher Boutros

iSubGen generates disease subtypes by integrating multiple data types, handling missing data and identifying clinically distinct patient groups.

DOI 10.1101/2021.05.13.444087

statistical modelclustering

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BioinformaticsNature CommunicationsPeer-reviewedFeb 5, 2020

Integrative pathway enrichment analysis of multivariate omics data

Marta Paczkowska, Jonathan Barenboim, Nardnisa Sintupisut…·Leonidas Salichos

ActivePathways integrates multivariate omics data to identify enriched pathways, revealing cancer driver genes and prognostic pathways in breast cancer.

223 citationstop 1%

humanwhole-genome sequencing

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BioinformaticsBMC BioinformaticsPeer-reviewedJan 21, 2019

BPG: Seamless, Automated and Interactive Visualization of Scientific Data

Christine P’ng, Jeffrey J. Green, Lauren C. Chong…·Paul Christopher Boutros

BPG is an R package that generates publication-quality, customizable plots and offers an interactive web tool for figure customization and integration with computational pipelines.

117 citationstop 3%

statistical modelsoftware / tool

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BioinformaticsPLoS ONEPeer-reviewedSep 14, 2018

Prediction of early breast cancer patient survival using ensembles of hypoxia signatures

Inna Y. Gong, Natalie S. Fox, Vincent Huang, Paul Christopher Boutros

The paper evaluates machine-learning ensembles of preprocessing methods to improve survival prediction in early breast cancer using hypoxia signatures.

8 citations

humanbulk RNA-seq

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