MLMSeg: a multi-view learning model for ultrasound thyroid nodule segmentation

G Chen, G Tan, M Duan, B Pu, H Luo, S Li… - Computers in Biology and …, 2024 - Elsevier
Accurate segmentation of the thyroid gland in ultrasound images is an essential initial step
in distinguishing between benign and malignant nodules, thus facilitating early diagnosis …

The biological essence of synthetic lethality: Bringing new opportunities for cancer therapy

M Ge, J Luo, Y Wu, G Shen, X Kuang - MedComm–Oncology, 2024 - Wiley Online Library
Synthetic lethality (SL), a genetic concept, has revolutionized the development of antitumor
therapies by providing avenues to target previously “undruggable” targets with enhanced …

TARSL: Triple-attention cross-network representation learning to predict synthetic lethality for anti-cancer drug discovery

J Li, X Lu, K Jiang, D Tang, B Ning… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Cancer is a multifaceted disease that results from co-mutations of multi biological molecules.
A promising strategy for cancer therapy involves in exploiting the phenomenon of Synthetic …

BAB-GSL: Using Bayesian influence with attention mechanism to optimize graph structure in basic views

Z Liu, M Xie, Y Song, L Wang, Y Lu, H Wang, X Chen - Neural Networks, 2025 - Elsevier
Abstract In recent years, Graph Neural Networks (GNNs) have garnered significant attention,
with a notable focus on Graph Structure Learning (GSL), a branch dedicated to optimizing …

Attention Transfer in Heterogeneous Networks Fusion for Drug Repositioning

X Lu, F Sun, J Li, J Ruan - IEEE Journal of Biomedical and …, 2024 - ieeexplore.ieee.org
Computational drug repositioning which accelerates the process of drug development is
able to reduce the cost in terms of time and money dramatically which brings promising and …

Multiple Heterogeneous Networks Representation with Latent Space for Synthetic Lethality Prediction

X Hu, H Yi, H Cheng, Y Zhao, D Zhang… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Computational synthetic lethality (SL) method has become a promising strategy to identify
SL gene pairs for targeted cancer therapy and cancer medicine development. Feature …

Latent space feature representation on multiple biological network for synthetic lethality interaction prediction

J Li, X Lu, K Jiang, D Tang, F Sun… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Computational methods to discover potential synthetic lethality (SL) pairs has become a
promising strategy for targeted cancer therapy and cancer medicine development. Despite …

[HTML][HTML] Graph Attention Network-Based Prediction of Drug-Gene Interactions of Signal Transducer and Activator of Transcription (STAT) Receptor in Periodontal …

S Chatterjee, PK Yadalam - Cureus, 2024 - pmc.ncbi.nlm.nih.gov
Introduction The signal transducer and activator of transcription-1 (STAT-1) are tightly
controlled signaling pathways, with induced genes acting as positive and negative …