Skip to content

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Book Open access Aug 2026

LaCONIC: A Label-Aware and Graph-Guided Multi-Omics Collaborative Learning Model for Cancer Survival Prediction

LaCONIC is proposed, a label-aware and graph-guided multi-omics collaborative learning framework that bridges fine-grained molecular regulation and coarse-grained patient prognosis and consistently outperforms 14 representative survival baselines.

Pei Liu, Xiao Liang, Jia-Wei Luo · 0 citations
Book Open access Aug 2026

LaCONIC: A Label-Aware and Graph-Guided Multi-Omics Collaborative Learning Model for Cancer Survival Prediction

Accurate cancer survival prediction is important for risk stratification and personalized treatment. However, patient prognosis is shaped by complex molecular regulation, cross-omics dependencies, and subtype-dependent tumor heterogeneity, making accurate and interpretable prediction challenging. Existing multi-omics s...

Pei Liu, Xiao Liang, Jiawei Luo · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.