Author

Christopher R. John

Queen Mary University of LondonORCID 0000-0002-4453-9484Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:clustering· 1 Organism:human· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Costantino PitzalisiD· 2 shared David WatsoniD· 2 shared Michael R. BarnesiD· 2 shared Myles LewisiD· 2 shared Dominic RussiD· 1 shared Katriona GoldmanniD· 1 shared Michael R. EhrensteiniD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

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2 shared papersBioinformatics

Costantino PitzalisORCID

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2 papers

Recent·Most cited

M3C: A Monte Carlo reference-based consensus clustering algorithm

Christopher R. John, David Watson, Dominic Russ, Katriona Goldmann, Michael R. Ehrenstein, Costantino Pitzalis, Myles Lewis, Michael R. Barnes

M3C improves consensus clustering by simulating null distributions to reduce bias and false positives in determining the number of clusters.

Scientific Reports · Feb 4, 2020Peer-reviewedBioinformatics

Spectrum: Fast density-aware spectral clustering for single and multi-omic data

Christopher R. John, David Watson, Michael R. Barnes, Costantino Pitzalis, Myles Lewis

Spectrum improves clustering speed and performance for single and multi-omic data by using a density-aware kernel and tensor product graph integration.

Bioinformatics · Sep 6, 2019Peer-reviewedBioinformatics