Author

Katriona Goldmann

Queen Mary University of LondonORCID 0000-0002-9073-6323Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:differential expression· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Costantino PitzalisiD· 2 shared Myles LewisiD· 2 shared Alfredo FerroiD· 1 shared Alfredo PulvirentiiD· 1 shared Anna E. A. SuraceiD· 1 shared Christopher R. JohniD· 1 shared David WatsoniD· 1 shared Dominic RussiD· 1 shared

Activity by Year

2020-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersGenomics

Costantino PitzalisORCID

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2 papers

Recent·Most cited

Harnessing gene-gene interactions via an RNA-Sequencing network analysis framework improves precision medicine prediction in rheumatoid arthritis

Elisabetta Sciacca, Anna E. A. Surace, Salvatore Alaimo, Alfredo Pulvirenti, Felice Rivellese, Katriona Goldmann, Alfredo Ferro, Vito Latora, Costantino Pitzalis, Myles Lewis

This study uses gene-gene interaction networks from RNA-Seq data to improve prediction of treatment response in rheumatoid arthritis.

bioRxiv · Dec 8, 2021 · PreprintGenomics

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