Author

Ismael A. Vergara

The University of SydneyORCID 0000-0002-2960-2967Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Alvis BrāzmaiD· 1 shared Christine ParkinsoniD· 1 shared David J. AdamsiD· 1 shared David Timothy BishopiD· 1 shared Dominique‐Laurent CouturieriD· 1 shared Felicity NewelliD· 1 shared Georgina Venetia LongiD· 1 shared Goran B JönssoniD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

Alvis BrāzmaORCID

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1 paper

Recent·Most cited

Tumour gene expression signature in primary melanoma predicts long-term outcomes: A prospective multicentre study

Manik Garg, Dominique‐Laurent Couturier, Jérémie Nsengimana, Nuno A. Fonseca, Matthew J. Wongchenko, Yibing Yan, Martin Lauss, Goran B Jönsson, Julia Newton‐Bishop, Christine Parkinson, Mark Ross Middleton, David Timothy Bishop, Sarah McDonald, Nikki Stefanos, John A. Tadross, , Roy Rabbie

This paper develops a gene expression signature, Cam_121, to predict long-term outcomes in primary melanoma patients, showing improved accuracy compared to clinical and existing prognostic models.

Nature Communications · Feb 18, 2021Peer-reviewedBioinformatics