Comparative Analysis of Multi-Omics Integration Using Graph Neural Networks for Cancer Classification

Authors: Alharbi, F., Vakanski, A., Zhang, B., Elbashir, M.K., Mohammed, M.

Source: IEEE Access Access, IEEE. 13:37724-37736 2025

Beyond the network-based multi-omics data integration in COPD: a pathway-centric analysis

Authors: Sibilio, Pasquale, Conte, Federica, Paci, Paola

Source: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2024 IEEE International Conference on. :6107-6112 Dec, 2024

Relation: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Cancer Subtyping Through Multi-Omics Feature Selection: A Review of Methods and the Superiority of Variational Autoencoders

Authors: Mukhdoomi, Muneeba Afzal, Chachoo, Manzoor Ahmad

Source: 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON) Delhi Section Flagship Conference (DELCON), 2024 3rd Edition of IEEE. :1-7 Nov, 2024

Relation: 2024 3rd Edition of IEEE Delhi Section Flagship Conference (DELCON)

CautionGCN: Cancer Subtype Classification by Developing Causal Multi-Head Autoencoder and Graph Convolutional Network

Authors: Li, Na, Yang, Fan, Zhang, Qingke, Li, Qian, Zhang, Xiaobin, Teng, Jiayi

Source: 2024 IEEE International Conference on Medical Artificial Intelligence (MedAI) MEDAI Medical Artificial Intelligence (MedAI), 2024 IEEE International Conference on. :626-634 Nov, 2024

Relation: 2024 IEEE International Conference on Medical Artificial Intelligence (MedAI)

CAGCL: Predicting Short- and Long-Term Breast Cancer Survival With Cross-Modal Attention and Graph Contrastive Learning

Authors: Palmal, S., Saha, S., Arya, N., Tripathy, S.

Source: IEEE Journal of Biomedical and Health Informatics IEEE J. Biomed. Health Inform. Biomedical and Health Informatics, IEEE Journal of. 28(12):7382-7391 Dec, 2024

Developing Algorithms for Predicting Gene-Disease Associations

Authors: Kaur, Jasdeep, B, Maheshwari, Adnan, Myasar Mundher, Kumhar, Bhupchand, Maheswari, G., A, Sriyashwanth

Source: 2024 IEEE International Conference on Communication, Computing and Signal Processing (IICCCS) Communication, Computing and Signal Processing (IICCCS), 2024 IEEE International Conference on. :1-5 Sep, 2024

Relation: 2024 IEEE International Conference on Communication, Computing and Signal Processing (IICCCS)

A Novel Deep Learning-Based Multi-Model Ensemble Approach for the Prediction of Non-Small Cell Lung Cancer (NSCLC) Metastasis via Integration of Multi-omics Data

Authors: Karthik, Akshay, Donovan, Michael

Source: 2024 2nd International Conference on Technology Innovation and Its Applications (ICTIIA) Technology Innovation and Its Applications (ICTIIA), 2024 2nd International Conference on. :1-6 Sep, 2024

Relation: 2024 2nd International Conference on Technology Innovation and Its Applications (ICTIIA)

MOSGAT: Uniting Specificity-Aware GATs and Cross Modal-Attention to Integrate Multi-Omics Data for Disease Diagnosis

Authors: Wu, W., Wang, S., Zhang, Y., Yin, W., Zhao, Y., Pang, S.

Source: IEEE Journal of Biomedical and Health Informatics IEEE J. Biomed. Health Inform. Biomedical and Health Informatics, IEEE Journal of. 28(9):5624-5637 Sep, 2024

Hierarchical Categorical Generative Modeling for Multi-omics Cancer Subtyping

Authors: Yang, Ziwei, Zhu, Lingwei, Li, Chen, Chen, Zheng, Ono, Naoki, Altaf-Ul-Amin, Md, Kanaya, Shigehiko

Source: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2022 IEEE International Conference on. :1350-1355 Dec, 2022

Relation: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

PNF: a novel method based on connectivity and similarity for data integration and cancer subtyping

Authors: Zhang, Shihao, Liu, Fenghui, Wang, Feng, Qi, Lin, Tie, Yun

Source: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2022 IEEE International Conference on. :2378-2384 Dec, 2022

Relation: 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Multi-omics Data Integration Model based on Isomap and Convolutional Neural Network

Authors: Alkhateeb, Abedalrhman, ElKarami, Bashier, Qattous, Hazem, Al-Refai, Abdullah, AlAfeshat, Noor, Shahrrava, Behnam, Azzeh, Mohammad

Source: 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA) ICMLA Machine Learning and Applications (ICMLA), 2022 21st IEEE International Conference on. :1381-1385 Dec, 2022

Relation: 2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA)

Survival prediction and molecular subtyping of squamous cell lung cancer based on network embedding

Authors: Dingjie Guo, Jing Chen, Yixian Wang, Xin Liu

Source: Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)

Subject Terms: Multi-omics data integration, Survival prediction, Molecular subtyping, Squamous cell lung cancer, Medicine, Science

File Description: electronic resource

Relation: https://doaj.org/toc/2045-2322

Access URL: https://doaj.org/article/5a35b635426d45168e6376488fab8811

Analytical aspects of metagenomic and volatilomic approaches that advance table olive integrity research

Authors: Despoina Langari, Fani Th. Mantzouridou

Source: Exploration of Foods and Foodomics, Vol 2, Iss 6, Pp 570-598 (2024)

Subject Terms: metagenomics, amplicon metagenomics, volatilomics, table olives, fermentation, food analysis, bioinformatics, omics data integration, Food processing and manufacture, TP368-456, Nutrition. Foods and food supply, TX341-641

File Description: electronic resource

Relation: https://www.explorationpub.com/Journals/eff/Article/101052; https://doaj.org/toc/2837-9020

Access URL: https://doaj.org/article/fd3cfe9864bd433c9386cc31b163e41f

Unveiling the molecular landscape of cognitive aging: insights from polygenic risk scores, DNA methylation, and gene expression

Authors: Sonya Neto, Andreia Reis, Miguel Pinheiro, Margarida Ferreira, Vasco Neves, Teresa Costa Castanho, Nadine Santos, Ana João Rodrigues, Nuno Sousa, Manuel A. S. Santos, Gabriela R. Moura

Source: Human Genomics, Vol 18, Iss 1, Pp 1-16 (2024)

Subject Terms: Cognitive aging, Cerebral small vessel disease (CSVD), Polygenic risk scores (PRS), Multi-omics data integration, Age-related methylation alterations, Age-related transcriptomic alterations, Medicine, Genetics, QH426-470

File Description: electronic resource

Relation: https://doaj.org/toc/1479-7364

Access URL: https://doaj.org/article/2e0c7763ac12478f9c1753c74e574d65

Multiomics Data Integration for Gene Regulatory Network Inference with Exponential Family Embeddings

Authors: Jagtap, S., Celikkanat, A., Piravre, A., Bidard, F., Duval, L., Malliaros, F.D.

Source: 2021 29th European Signal Processing Conference (EUSIPCO) Signal Processing Conference (EUSIPCO), 2021 29th European. :1221-1225 Aug, 2021

Relation: 2021 29th European Signal Processing Conference (EUSIPCO)

CSSEC: An adaptive approach integrating consensus and specific self-expressive coefficients for multi-omics cancer subtyping

Authors: Cai, Yueyi, Zhou, Nan, Zhao, Junran, Li, Weihua, Wang, Shunfang ^⁎

Source: In Methods March 2025 235:26-33

Enhancing cell subpopulation discovery in cancer by integrating single-cell transcriptome and expressed variants

Authors: Wang, Tao ^{⁎, a, b}, Mai, Duoduo ^{1, a, b}, Shu, Han ^{1, a, b}, Hu, Jialu ^{a, b}, Wang, Yongtian ^{a, b}, Peng, Jiajie ^{a, b}, Chen, Jing ^{⁎, c}, Shang, Xuequn ^{⁎, a, b}

Source: In Fundamental Research January 2025

Computational analysis of the functional impact of MHC-II-expressing triple-negative breast cancer

Authors: Yang Cui, Weihang Zhang, Xin Zeng, Yitao Yang, Sung-Joon Park, Kenta Nakai

Source: Frontiers in Immunology, Vol 15 (2024)

Subject Terms: breast cancer, machine learning, MHC-II pathway, multi-omics data integration, tumor microenvironment, Immunologic diseases. Allergy, RC581-607

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fimmu.2024.1497251/full; https://doaj.org/toc/1664-3224

Access URL: https://doaj.org/article/cb09e89bbe7f4e75982285fbd8bcbce3

NECo: A node embedding algorithm for multiplex heterogeneous networks

Authors: Dursun, Cagatay, Smith, Jennifer R., Hayman, G. Thomas, Kwitek, Anne E., Bozdag, Serdar

Source: 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2020 IEEE International Conference on. :146-149 Dec, 2020

Relation: 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

WMLRR: A Weighted Multi-View Low Rank Representation to Identify Cancer Subtypes From Multiple Types of Omics Data

Authors: Sun, Y., Ou-Yang, L., Dai, D.

Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics IEEE/ACM Trans. Comput. Biol. and Bioinf. Computational Biology and Bioinformatics, IEEE/ACM Transactions on. 18(6):2891-2897 Jan, 2021