Author

Venkateswar Addala

QIMR Berghofer Medical Research InstituteORCID 0000-0002-3569-2065Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 2 Assay:bulk RNA-seq· 2 Organism:human· 2 Approach:Bayesian inference· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Assay:DNA methylation· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

John V. PearsoniD· 2 shared Lambros T. KoufariotisiD· 2 shared Nicola WaddelliD· 2 shared Olga KondrashovaiD· 2 shared Scott WoodiD· 2 shared Christian U. BlankiD· 1 shared Conrad LeonardiD· 1 shared Elizabeth D. WilliamsiD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersBioinformatics

John V. PearsonORCID

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2 papers

Recent·Most cited

Explainable machine learning identifies features and thresholds predictive of immunotherapy response

Khoa Anh Tran, Venkateswar Addala, Lambros T. Koufariotis, Jia Zhang, Scott Wood, Conrad Leonard, Lotte L. Hoeijmakers, Christian U. Blank, Mireia Crispin‐Ortuzar, Elizabeth D. Williams, Olga Kondrashova, John V. Pearson, Nicola Waddell

The paper develops a multi-omic random forest model to predict immunotherapy response in melanoma using SHAP for feature threshold identification.

Scientific Reports · May 23, 2026Peer-reviewedBioinformatics

Generalising uncertainty improves accuracy and safety of deep learning analytics applied to oncology

Samual MacDonald, Helena Foley, Melvyn Yap, Rebecca L. Johnston, Kaiah Steven, Lambros T. Koufariotis, Sowmya Sharma, Scott Wood, Venkateswar Addala, John V. Pearson, Fred Roosta, Nicola Waddell, Olga Kondrashova, Maciej Trzaskowski

This paper benchmarks Bayesian deep learning models for predicting cancer of unknown primary, showing improved uncertainty generalisation and accuracy under distributional shifts.

Scientific Reports · May 6, 2023Peer-reviewedBioinformatics