Author

Paul J Kennedy

University of Technology SydneyORCID 0000-0001-7837-3171Unclaimed 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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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:GWAS / association mapping· 1 Organism:human· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Daniel Robin CatchpooleiD· 2 shared Aedan G. K. RobertsiD· 1 shared Javed Iqbal KhaniD· 1 shared Nastaran Maus EsfahaniiD· 1 shared

Activity by Year

2021-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 4 mutual co-author links

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2 shared papersGenomics

Daniel Robin CatchpooleORCID

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2 papers

Recent·Most cited

GenomicsNAR Genomics and BioinformaticsPeer-reviewedJan 14, 2022

Identification of differentially distributed gene expression and distinct sets of cancer-related genes identified by changes in mean and variability

Aedan G. K. Roberts, Daniel Robin Catchpoole, Paul J Kennedy

The paper identifies cancer-related genes by analyzing changes in gene expression variability and distribution, finding distinct sets of genes missed by traditional differential expression analysis.

15 citations

humanbulk RNA-seq

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BioinformaticsBMC BioinformaticsPeer-reviewedDec 1, 2021

MCKAT, a multi-dimensional copy numbervariant kernel association test

Nastaran Maus Esfahani, Daniel Robin Catchpoole, Javed Iqbal Khan, Paul J Kennedy

The paper introduces MCKAT, a multi-dimensional CNV kernel association test, which detects significant associations between CNVs and disease traits more effectively than a uni-dimensional method.

3 citations

whole-genome sequencingstatistical model

𝕏 PostBluesky