Piotr Szul

Commonwealth Scientific and Industrial Research Organisation — Australia

Biochemistry, Genetics and Molecular Biology · Life Sciences

8h-index220citations38works0.02yr avg
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Research Topics

Gene expression and cancer classification(4), Bioinformatics and Genomic Networks(4), Scientific Computing and Data Management(4), Genetic Associations and Epidemiology(3), Distributed and Parallel Computing Systems(3)

Publications38 total

Novel Epistatic Interaction Between RBMS3 and CDKN2B-AS1 in Coronary Artery Disease Risk Identified by Machine Learning Tool VariantSpark
2025Open Access
SQL on FHIR - Tabular views of FHIR data using FHIRPath
npj Digital Medicine·2025Open Access
SQL on FHIR — Tabular views of FHIR data using FHIRPath
2025Open Access
pathling: A Library for using 'Pathling'
2023Open Access
Novel Alzheimer’s disease genes and epistasis identified using machine learning GWAS platform
Scientific Reports·2023· 21 citedOpen Access
Novel Alzheimer’s disease genes and epistasis identified using machine learning GWAS platform
2023· 2 citedOpen Access
Thresholding Gini variable importance with a single-trained random forest: An empirical Bayes approach
Computational and Structural Biotechnology Journal·2023· 25 citedOpen Access
Pathling: analytics on FHIR
Journal of Biomedical Semantics·2022· 19 citedOpen Access
Thresholding Gini Variable Importance with a single trained Random Forest: An Empirical Bayes Approach
2022· 1 citedOpen Access
Additional file 6 of Pathling: analytics on FHIR
Figshare·2022Open Access
Additional file 4 of Pathling: analytics on FHIR
Figshare·2022Open Access
Additional file 5 of Pathling: analytics on FHIR
Figshare·2022Open Access
Additional file 2 of Pathling: analytics on FHIR
Figshare·2022Open Access
Additional file 1 of Pathling: analytics on FHIR
Figshare·2022Open Access
Additional file 3 of Pathling: analytics on FHIR
Figshare·2022Open Access
Cloud-based Machine Learning for Genome Engineering
2021
How computational science and data-driven health decisions help in the fight against COVID-19
2021
Pathling
Open MIND·2021
Pathling
CSIRO·2021Open Access
Pathling
CSIRO·2021Open Access
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Frequent Co-authors

John Grimes(14), Denis C. Bauer(13), Natalie A. Twine(11), Michael Lawley(11), Tomasz Bednarz(8), Robert Dunne(7), Letitia M.F. Sng(7), Alejandro Metke‐Jimenez(7), Kylynn Loi(7), Alejandro Metke Jimenez(7), Yulia Arzhaeva(6), Neil Burdett(6), Alex Khassapov(6), John Taylor(6), Brendan Hosking(5), Yatish Jain(5), Shiping Chen(5), Dadong Wang(5), Mischa Lundberg(4), Arash Bayat(4)