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Qiwei Li

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Open access Aug 2026

DeMoP: A Language-Model-Guided Mixture-of-Experts Framework for Cancer Prognosis

DeMoP, a language-model-guided mixture-of-experts framework that serializes structured patient profiles as natural-language sequences and learns adaptive prognostic representations from clinical variables, copy-number alterations, and gene descriptions, provides a unified approach to heterogeneous biomedical data integ...

Chen Tang, Lei Yu, Qiwei Li et al. · 0 citations
Open access Aug 2026

A generalized supervised contrastive learning framework for integrative multi-omics prediction models

MB-SupCon-cont improves prediction accuracy by incorporating a generalized contrastive loss function that defines similarity and dissimilarity for continuous responses using three distance-based weighting methods, and provides superior representation learning and improves data visualization in lower-dimensional spaces.

Sen Yang, Shidan Wang, Yiqing Wang et al. · 0 citations

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