Author

Jean-Philippe Fortin

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2 Genomics· 2

Signature Assays, Organisms & Methods

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Organism:human· 4 Approach:statistical model· 4 Assay:DNA methylation· 3 Research Focus:differential expression· 2 Research Focus:batch correction / integration· 1 Assay:bulk RNA-seq· 1 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:deconvolution· 1

Frequent Co-Authors

Kasper D Hansen· 2 shared Abhinav NelloreiD· 1 shared Andrew E Jaffe· 1 shared Aurelie Labbe· 1 shared Ben LangmeadiD· 1 shared Brent W. Zanke· 1 shared Celia M.T. Greenwood· 1 shared Elana J. Fertig· 1 shared

Activity by Year

2014-2016 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersGenomics

Kasper D Hansen

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Author profile →

4 papers

Recent·Most cited

Human splicing diversity across the Sequence Read Archive

Abhinav Nellore, Andrew E Jaffe, Jean-Philippe Fortin, José Alquicira-Hernández, Leonardo Collado-Torres, Siruo Wang, Robert A Phillips, Nishika Karbhari, Kasper D Hansen, Ben Langmead, Jeffrey T Leek

The paper analyzes human RNA-seq data from the SRA to identify unannotated splicing junctions and their tissue-specific expression, creating a resource called intropolis.

Genome Biology · Dec 30, 2016Peer-reviewedGenomics

Preprocessing, normalization and integration of the Illumina HumanMethylationEPIC array

Jean-Philippe Fortin, Timothy Triche, Kasper Hansen

The paper updates the minfi package to support the HumanMethylationEPIC array, introduces the ssNoob normalization method, and describes integration strategies for methylation data from multiple platforms.

bioRxiv · Jul 23, 2016Bioinformatics

Reconstructing A/B compartments as revealed by Hi-C using long-range correlations in epigenetic data

Jean-Philippe Fortin, Kasper D Hansen

This paper shows that A/B compartments can be estimated from epigenetic data across multiple platforms in various cell types, including human cancers.

bioRxiv · Jun 3, 2015Genomics

Functional normalization of 450k methylation array data improves replication in large cancer studies

Jean-Philippe Fortin, Aurelie Labbe, Mathieu Lemire, Brent W. Zanke, Thomas J. Hudson, Elana J. Fertig, Celia M.T. Greenwood, Kasper D. Hansen

The paper introduces functional normalization for 450k methylation array data, improving replication in cancer studies by reducing technical variation and batch effects.

bioRxiv · Feb 23, 2014Bioinformatics