Author

Li-Feng Li

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Open access Feb 2026

SA-FGPN: Stability-aware feature-gated progressive learning for pediatric brain tumor classification from high dimensional gene expression data

Objectives Accurate pediatric brain tumor classification from gene expression data remains challenging due to the extremely high-dimensional nature of transcriptomic datasets, where tens of thousands of features are available from only a limited number of samples. This imbalance increases the risk of overfitting, unsta...

Qiuhong Ma, Qi-Fang Cai, Yu-Qing Liu et al. · Digital Health · 0 citations

Review Open access Sep 2026

Advanced Deep Learning and Hybrid Architectures in Biomedical Data Analysis for Advances in Medicine

Traditional diagnostic methods in biomedicine are often constrained by subjectivity, misdiagnosis, and the inability to efficiently process large, complex, and multimodal datasets. Recent advances in deep learning and hybrid architectures have enabled the automated learning of discriminative representations from high‐d...

Li-Feng Li, Ashfaque Khowaja, Yu-Cheng Song et al. · Medicine Advances · 0 citations

Open access Aug 2026

The molecular and neurochemical basis of altered intrinsic neural timescales in major depressive disorder: a multimodal imaging-transcriptomic investigation of esketamine and sertraline treatment

A multiscale pathophysiological framework involving brain connectivity dynamics, molecular architecture, and neurochemical regulation in patients with MDD is supported, suggesting a role for inhibitory neurotransmission in temporal integration deficits.

Xiang Liu, Yuanzhi He, Li-Feng Li et al. · BMC Psychiatry · 0 citations