Author

Peter Anthony Noble

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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Genomics· 1 Microbiology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 3 Assay:bulk RNA-seq· 2 Organism:mouse· 2 Approach:statistical model· 2 Organism:zebrafish· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:experimental assay· 1

Frequent Co-Authors

Alexander E Pozhitkov· 2 shared M Colby Hunter· 2 shared Alexander Pozhitkov· 1 shared Brian Leroux· 1 shared Diethard Tautz· 1 shared Rafik Neme· 1 shared Shivani Soni· 1 shared Tomislav Domazet-Loso· 1 shared

Activity by Year

2016-2017 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 17 mutual co-author links

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2 shared papersSystems Biology

Alexander E Pozhitkov

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Author profile →

3 papers

Recent·Most cited

Thanatotranscriptome: genes actively expressed after organismal death

Alexander E Pozhitkov, Rafik Neme, Tomislav Domazet-Loso, Brian Leroux, Shivani Soni, Diethard Tautz, Peter Anthony Noble

The paper investigates gene expression changes after organismal death in mice and zebrafish, identifying 1,063 genes with significant transcriptional changes and revealing non-random patterns over time.

Open Biology · Jan 1, 2017Peer-reviewedSystems Biology

Microbial Signatures of Oral Dysbiosis, Periodontitis and Edentulism Revealed by Gene Meter Methodology

M Colby Hunter, Alexander E Pozhitkov, Peter Anthony Noble

The paper uses Gene Meter methodology to identify microbial signatures associated with oral dysbiosis, periodontitis, and edentulism by analyzing microbial abundances in patient samples.

bioRxiv · Aug 19, 2016Microbiology

Accurate Predictions of Postmortem Interval Using Linear Regression Analyses of Gene Meter Expression Data

M Colby Hunter, Alexander Pozhitkov, Peter Anthony Noble

This study uses gene expression data from zebrafish and mouse to predict postmortem interval with high accuracy using linear regression.

bioRxiv · Jun 12, 2016Genomics