Temporal GeneTerrain: advancing precision medicine through dynamic gene expression visualization
Temporal GeneTerrain addresses the limitations of traditional visualization methods by offering an intuitive and detailed representation of gene expression dynamics. Compared to other approaches, such as heatmaps and static clustering, Temporal GeneTerrain uniquely captures the transient nature of gene expression patterns. This method significantly enhances the interpretability of complex biological datasets, thereby supporting informed decision-making in biological research and therapeutic development.
Authors
- Zhandos Sembay
- Kevin Song (ORCID: https://orcid.org/0000-0001-8991-4973)
- Ehsan Saghapour
- Rahul Sharma (ORCID: https://orcid.org/0000-0002-0699-6940)
- Jake Y. Chen (ORCID: https://orcid.org/0000-0001-8829-7504)
- Delower Hossain (ORCID: https://orcid.org/0000-0001-5380-6604)
Institutions
- University of Alabama at Birmingham (US)
Publication Details
- Journal
- Frontiers in Bioinformatics
- Published
- 2025-06-18
- DOI
- https://doi.org/10.3389/fbinf.2025.1602850
- Citations
- 1
- Primary Topic
- Genetics, Bioinformatics, and Biomedical Research
- Type
- article
- Field-Weighted Citation Impact
- 0.81