A benchmark study of deep learning-based multi-omics data fusion methods for cancer
D Leng, L Zheng, Y Wen, Y Zhang, L Wu, J Wang… - Genome biology, 2022 - Springer
Background A fused method using a combination of multi-omics data enables a
comprehensive study of complex biological processes and highlights the interrelationship of …
comprehensive study of complex biological processes and highlights the interrelationship of …
A privacy-preserving social computing framework for health management using federated learning
Currently, health management driven by intelligent means is a general demand of social
systems. Although a number of researchers have paid attention to such areas, they have …
systems. Although a number of researchers have paid attention to such areas, they have …
Discrepancy and gradient-guided multi-modal knowledge distillation for pathological glioma grading
The fusion of multi-modal data, eg, pathology slides and genomic profiles, can provide
complementary information and benefit glioma grading. However, genomic profiles are …
complementary information and benefit glioma grading. However, genomic profiles are …
A survey on multi-omics-based cancer diagnosis using machine learning with the potential application in gastrointestinal cancer
S Wang, S Wang, Z Wang - Frontiers in Medicine, 2023 - frontiersin.org
Gastrointestinal cancer is becoming increasingly common, which leads to over 3 million
deaths every year. No typical symptoms appear in the early stage of gastrointestinal cancer …
deaths every year. No typical symptoms appear in the early stage of gastrointestinal cancer …
Pathformer: a biological pathway informed transformer for disease diagnosis and prognosis using multi-omics data
Motivation Multi-omics data provide a comprehensive view of gene regulation at multiple
levels, which is helpful in achieving accurate diagnosis of complex diseases like cancer …
levels, which is helpful in achieving accurate diagnosis of complex diseases like cancer …
Classifying breast cancer using multi-view graph neural network based on multi-omics data
Y Ren, Y Gao, W Du, W Qiao, W Li, Q Yang… - Frontiers in …, 2024 - frontiersin.org
Introduction: As the evaluation indices, cancer grading and subtyping have diverse clinical,
pathological, and molecular characteristics with prognostic and therapeutic implications …
pathological, and molecular characteristics with prognostic and therapeutic implications …
Comprehensive learning and adaptive teaching: Distilling multi-modal knowledge for pathological glioma grading
The fusion of multi-modal data, eg, pathology slides and genomic profiles, can provide
complementary information and benefit glioma grading. However, genomic profiles are …
complementary information and benefit glioma grading. However, genomic profiles are …
Graph Contrastive Learning for Multi-omics Data
N Rajadhyaksha, A Chitkara - arXiv preprint arXiv:2301.02242, 2023 - arxiv.org
Advancements in technologies related to working with omics data require novel computation
methods to fully leverage information and help develop a better understanding of human …
methods to fully leverage information and help develop a better understanding of human …
iMVAN: integrative multimodal variational autoencoder and network fusion for biomarker identification and cancer subtype classification
Numerous research has been conducted to define the molecular and clinical aspects of
various tumors from a multi-omics point of view. However, there are significant obstacles in …
various tumors from a multi-omics point of view. However, there are significant obstacles in …
Improving context and syntactic dependency for aspect-based sentiment analysis using a fused graph attention network
P Wang, Z Zhao - Evolutionary Intelligence, 2024 - Springer
Aspect-based sentiment analysis is a hot research issue, which aims to determine the
polarity of sentiments in a particular aspect of a review. Some recent methods adopt …
polarity of sentiments in a particular aspect of a review. Some recent methods adopt …