NetG2P: Network-based genotype-to-phenotype transformation identifies key signaling crosstalk for prognosis in pan-cancer study
NetG2P generates patient-specific networks of critical oncogenic features and suggests personalized treatments, hence advancing precision medicine in oncology.
Authors
- Seokwon Jang (ORCID: https://orcid.org/0000-0003-4070-1103)
- Dongkwan Shin (ORCID: https://orcid.org/0000-0002-6925-1081)
- Jisu Shin (ORCID: https://orcid.org/0000-0001-9376-8251)
- Byungjo Lee (ORCID: https://orcid.org/0000-0002-1404-8246)
- Jonghyun Lee (ORCID: https://orcid.org/0000-0002-3646-2915)
- Jeong-Ryeol Gong
Institutions
- Korea Advanced Institute of Science and Technology (KR)
- National Cancer Center (US)
- National Cancer Center (KR)
- University of Virginia (US)
Publication Details
- Journal
- BMC Biology
- Published
- 2026-02-24
- DOI
- https://doi.org/10.1186/s12915-026-02559-x
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00