Author

Peter A. Silburn

The University of Queensland

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

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Assay:DNA methylation· 1

Frequent Co-Authors

Alison D. MurrayiD· 1 shared Allan F. McRaeiD· 1 shared Andrew Mark McIntoshiD· 1 shared Anjali K. HendersiD· 1 shared Chris HaleyiD· 1 shared Christoph D. MathysiD· 1 shared Costanza Ludovica VallergaiD· 1 shared David John PorteousiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperBioinformatics

Alison D. MurrayORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Subjective estimates of uncertainty during gambling and impulsivity after subthalamic deep brain stimulation for Parkinson’s disease

Saee Paliwal, Philip E. Mosley, Michael J Breakspear, Terry J. Coyne, Peter A. Silburn, Eduardo A. Aponte, Christoph D. Mathys, Klaas Enno Stephan

This study examines how subthalamic deep brain stimulation (STN-DBS) affects impulsivity and subjective uncertainty estimates in Parkinson’s disease patients through gambling behavior analysis.

Scientific Reports · Oct 15, 2019Peer-reviewedNeuroscience

Improved prediction of chronological age from DNA methylation limits it as a biomarker of ageing

Qian Zhang, Costanza Ludovica Vallerga, Rosie May Walker, Tian Lin, Anjali K. Henders, Grant W. Montgomery, Ji He, Dongsheng Fan, Javed Fowdar, Martin Alexander Kennedy, Toni L. Pitcher, John Pearson, Glenda Margaret Halliday, John B. Kwok, Ian Bernard Hickie, , Peter M. Visscher

The paper improves age prediction from DNA methylation using larger datasets, showing reduced error and limitations in capturing biological ageing variation.

bioRxiv · Oct 28, 2018 · PreprintBioinformatics