Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 33 min ago
PreprintAll rights reservedbioRxiv

Clinical-Anchored Incremental Survival Learning: A Stability-Constrained Framework for Molecularly Enhanced Survival Prediction in Lung Adenocarcinoma

  • P. Shringarpure
  • S. Divakar
  • S. Khobragade1
  1. 1Pillai HOC College of Engineering & Technology
Read full textPDFDOICite

Related

  1. External Evaluation of Multi-Omics Prognostic Models Across TCGA-BRCA and METABRIC: Transportability, Stability, and Incremental Performance
    E. Krikun, A. Alkhateeb
    bioRxivPreprintCC BY-NC-NDFull textBioinformatics & computational biologybioRxiv
  2. BRAP maintains SEC24D stability to regulate ER stress and promote cervical adenocarcinoma progression
    Hui Wang, Yingying Li, Jiaoyun Zheng +7
    Journal of Translational MedicinePeer-reviewedCC BYFull textCell biologyDOAJ
  3. Beyond prediction accuracy by integrating GWAASB into wheat stability assessment across environments in Saudi Arabia
    Omar Dahrog, Abdullah Al-Doss, Ibrahim Al-Ashkar
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Plant biologyCrossref
  4. Resolving power as a measure of protein stability prediction
    M. Ronco
    bioRxivPreprintCC BYFull textBioinformatics & computational biologybioRxiv
  5. Finlay–Wilkinson random regression for yield and yield stability prediction in cereals
    Pablo Sandro, Justin Blancon, Jeffrey Neyhart +2
    Plant GenomePeer-reviewedCC BY 4.0Full textPlant biologyHAL

Cite

BibTeXRIS
BibTeX
@misc{shringarpure2026clinicalanchored,
  title = {{Clinical-Anchored Incremental Survival Learning: A Stability-Constrained Framework for Molecularly Enhanced Survival Prediction in Lung Adenocarcinoma}},
  author = {P. Shringarpure and S. Divakar and S. Khobragade},
  howpublished = {bioRxiv},
  year = {2026},
  month = nov,
  doi = {10.64898/2026.11.04.763606},
  url = {https://www.biorxiv.org/content/10.64898/2026.11.04.763606v1},
}
RIS
TY  - UNPB
TI  - Clinical-Anchored Incremental Survival Learning: A Stability-Constrained Framework for Molecularly Enhanced Survival Prediction in Lung Adenocarcinoma
AU  - P. Shringarpure
AU  - S. Divakar
AU  - S. Khobragade
PY  - 2026
DA  - 2026/11/04
PB  - bioRxiv
DO  - 10.64898/2026.11.04.763606
UR  - https://www.biorxiv.org/content/10.64898/2026.11.04.763606v1
ER  -