Xin Lai

This paper introduces HHRM, a hierarchical model for tumor subtype classification, achieving high accuracy in pan-cancer and breast cancer subtyping with interpretable biomarker identification.

RingNet is a web-based tool for interactive visualization of multi-modal biological networks, enabling pattern identification and cross-modal relationship discovery without requiring advanced programming skills.

The paper identifies miRNAs regulated by SOX10 depletion in uveal melanoma and shows their role in tumor-suppressive pathways.

scRGCL improves single-cell clustering by integrating contrastive learning with cluster-level guidance, achieving better performance on multiple datasets.

miREA improves miRNA pathway analysis by incorporating miRNA-gene interactions, outperforming node-based methods in sensitivity and biological interpretability across cancer datasets.

The paper identifies E2F transcription factors as potential druggable targets in uveal melanoma by analyzing SOX10's role and its downstream effects.

The paper identifies progression-related noncoding RNAs in IDH-mutant astrocytomas after treatment, linking them to cell cycle, ECM, and neural differentiation processes.

MRDadaptis improves MRD detection in heterogeneous ctDNA samples by automatically adapting parameters using Bayesian optimization and meta-learning, enhancing detection stability and performance.

The paper identifies Clindamycin as a potential inhibitor of pyroptosis in tumor-associated macrophages by integrating network biology and pharmacophore modeling.

This paper reviews the interplay between SOX10 and microRNAs in melanoma, identifying key network motifs and their role in regulating tumor plasticity and therapy resistance.

ENQUIRE reconstructs and expands context-specific co-occurrence networks from biomedical literature to identify gene interactions and pathways relevant to specific topics.

The paper integrates transcriptomics data into agent-based models of cancer to identify therapy resistance scenarios.

The paper identifies miRNAs that enhance dendritic cell immunogenicity using RNA sequencing and systems biology, and provides a database for therapeutic miRNA-gene interactions.