QIGTD: identifying critical genes in the evolution of lung adenocarcinoma with tensor decomposition
In conclusion, QIGTD effectively captures the temporal changes in gene networks and identifies critical genes. It provides a valuable tool for studying temporal dynamics in biological networks and can aid in understanding the underlying mechanisms of diseases such as LUAD.
Authors
- Ci Shao
- Jinlei Zhang (ORCID: https://orcid.org/0000-0003-0763-9344)
- Bolin Chen (ORCID: https://orcid.org/0000-0001-5507-2288)
- Jun Bian
- Xuequn Shang
- Ruiming Kang
Institutions
- Northwestern Polytechnical University (CN)
- Xi’an Children’s Hospital (CN)
Publication Details
- Journal
- BioData Mining
- Published
- 2024-09-04
- DOI
- https://doi.org/10.1186/s13040-024-00386-w
- Primary Topic
- RNA modifications and cancer
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China