macpie: Scalable workflow for high-throughput transcriptomic profiling
All code and example datasets used in this study are available in the <i>macpie</i> GitHub repository (https://github.com/PMCC-BioinformaticsCore/macpie). Additional data supporting the findings of this study are available from the corresponding author upon reasonable request.
Authors
- Xin Liu (ORCID: https://orcid.org/0000-0002-7869-4730)
- Timothy Semple (ORCID: https://orcid.org/0000-0002-4048-1553)
- Richard Lupat (ORCID: https://orcid.org/0000-0002-6435-7100)
- Susanne Ramm (ORCID: https://orcid.org/0000-0003-1108-5620)
- Kaylene J. Simpson (ORCID: https://orcid.org/0000-0001-9136-1781)
- Nenad Bartoniček (ORCID: https://orcid.org/0000-0003-2144-1887)
- David Yoannidis (ORCID: https://orcid.org/0000-0001-9591-1349)
- Xiang Li (ORCID: https://orcid.org/0000-0001-6222-4446)
- Jason Li (ORCID: https://orcid.org/0000-0002-1150-3549)
- Michelle Meier (ORCID: https://orcid.org/0009-0005-5595-3882)
- Laura Twomey (ORCID: https://orcid.org/0009-0001-0343-1776)
- Stuart Craig
Institutions
- The University of Melbourne (AU)
- Peter MacCallum Cancer Centre (AU)
Publication Details
- Journal
- Computational and Structural Biotechnology Journal
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.csbj.2025.11.002
- Primary Topic
- Gene expression and cancer classification
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Peter MacCallum Cancer Centre