Sparse inference of the human haematopoietic system from heterogeneous and partially observed genomic data
Abstract Haematopoiesis is the process of blood cells’ formation, with progenitor stem cells differentiating into mature forms such as white and red blood cells or platelets. While progenitor cells share regulatory pathways involving common nuclear factors, specific networks shape their fate towards particular lineages. This paper analyses the complex regulatory network that drives the formation of mature red blood cells and platelets from their common precursors. Using the latest reverse transcription quantitative real-time PCR genomic data, we develop a dedicated graphical model that incorporates the effect of external genomic data and allows inference of regulatory networks from the high-dimensional and partially observed data.
Authors
- Gianluca Sottile (ORCID: https://orcid.org/0000-0001-9347-7251)
- Claudia Coronnello (ORCID: https://orcid.org/0000-0001-5962-8642)
- Veronica Vinciotti (ORCID: https://orcid.org/0000-0002-2625-7977)
- Walter Arancio (ORCID: https://orcid.org/0000-0002-6736-7734)
- Luigi Augugliaro (ORCID: https://orcid.org/0000-0002-4603-7541)
Institutions
- University of Trento (IT)
- National Academies of Sciences, Engineering, and Medicine (US)
- Institute for Biomedical Research and Innovation (IT)
- University of Palermo (AR)
- Ri.MED (IT)
- National Research Council (IT)
- Analysis Group (United States) (US)
- University of Palermo (IT)
Publication Details
- Journal
- Journal of the Royal Statistical Society Series C (Applied Statistics)
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1093/jrsssc/qlae052
- Citations
- 2
- Primary Topic
- Genetic Associations and Epidemiology
- Type
- article
- Field-Weighted Citation Impact
- 1.10
Funders
- European Commission
- Università degli Studi di Palermo