A novel approach to the analysis of Overall Survival (OS) as response with Progression-Free Interval (PFI) as condition based on the RNA-seq expression data in The Cancer Genome Atlas (TCGA)
Based on our study, it is necessary to incorporate PFI into the survival analysis of OS. Furthermore, PFI is a survival-type time, and improved results can be achieved by our conditional-probability-based approach.
Authors
- Mengping Zhang (ORCID: https://orcid.org/0000-0001-5714-6148)
- Kui Jin (ORCID: https://orcid.org/0000-0002-2272-9949)
- Wang Huan-li
- Shusheng Zhou
- Kaipeng Wang (ORCID: https://orcid.org/0000-0002-2206-4318)
- Wenwen Wang (ORCID: https://orcid.org/0000-0002-1545-4369)
- Yulan Wang (ORCID: https://orcid.org/0000-0002-2831-8737)
- Qingyuan Liu (ORCID: https://orcid.org/0000-0002-9711-3583)
- Yinglei Lai (ORCID: https://orcid.org/0000-0002-6962-6373)
- Jian Sun (ORCID: https://orcid.org/0000-0003-4858-7448)
- Bo Lin (ORCID: https://orcid.org/0000-0001-6566-0120)
- Yueguo Wang (ORCID: https://orcid.org/0000-0003-1463-0786)
- Yuan Yuan (ORCID: https://orcid.org/0000-0002-4011-1042)
Institutions
- Anhui Jianzhu University (CN)
- University of Science and Technology of China (CN)
- Bengbu Medical College (CN)
- George Washington University (US)
- Nanjing University of Science and Technology (CN)
Publication Details
- Journal
- BMC Bioinformatics
- Published
- 2024-09-13
- DOI
- https://doi.org/10.1186/s12859-024-05897-1
- Citations
- 7
- Primary Topic
- RNA modifications and cancer
- Type
- article
- Field-Weighted Citation Impact
- 1.64
Funders
- National Natural Science Foundation of China
- University of Science and Technology of China
- Major Science and Technology Projects in Anhui Province