DCOAT: Dynamic Core-attachment based Protein Complex Detection

Authors: Chen, Yaoran, Feng, Difu, Zhu, Yuanyuan, Li, Guojing, Zhong, Ming, Qian, Tieyun, Liu, Juan

Source: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2024 IEEE International Conference on. :411-416 Dec, 2024

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

Protein Complex Identification Method based on Weighted Subgraph Clustering and Biocompatibility Evaluation

Authors: Zhou, Tie Hua, Zhang, Wanlin, Wang, Ling, Xia, Xiaoyan, Ryu, Keun Ho

Source: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2024 IEEE International Conference on. :5833-5840 Dec, 2024

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

Integrating topology and biological information to predict essential proteins via Shannon entropy

Authors: Liu, Yan, Wang, Zhong, He, Zengyou, Zhang, Hexin, Qin, Jing

Source: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2024 IEEE International Conference on. :327-332 Dec, 2024

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

Knowledge-guided Protein Complex Identification with Fuzzy-based Graph Representation Learning

Authors: Yang, Yue, Li, Guodong, Li, Dongxu, Hu, Pengwei, Hu, Lun

Source: 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2024 IEEE International Conference on. :134-139 Dec, 2024

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

An End-to-End Knowledge Graph Fused Graph Neural Network for Accurate Protein-Protein Interactions Prediction

Authors: Yang, J., Li, Y., Wang, G., Chen, Z., Wu, 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. 21(6):2518-2530 Jan, 2024

Identification of Shared Biomarkers in HCC and NSCLC: An Integrative Machine Learning and Bioinformatics Approach

Authors: Sarker, Sakib, Srizon, Azmain Yakin, Hasan, Md. Al Mehedi, Sayeed, Abu, Sikdar, Sagor

Source: 2024 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON) Power, Electrical, Electronics and Industrial Applications (PEEIACON), 2024 IEEE International Conference on. :888-893 Sep, 2024

Relation: 2024 IEEE International Conference on Power, Electrical, Electronics and Industrial Applications (PEEIACON)

A Method for Essential Proteins Identification by Integrating Topological and Biological Characteristics in PPI Network

Authors: Wu, Wenfa, Liu, Min

Source: 2024 3rd International Joint Conference on Information and Communication Engineering (JCICE) JCICE Information and Communication Engineering (JCICE), 2024 3rd International Joint Conference on. :67-70 May, 2024

Relation: 2024 3rd International Joint Conference on Information and Communication Engineering (JCICE)

Alzheimer’s Disease Risk Genes Mining Based on a Supervised Machine Learning Method and PPI Network Construction

Authors: Zhang, Qiushi, Ao, Lang, Liu, Junfeng, Xi, Yang, Chen, Dandan

Source: 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD) Computer Supported Cooperative Work in Design (CSCWD), 2024 27th International Conference on. :2961-2966 May, 2024

Relation: 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

A Hybrid Model Integrating Multi-Omic and Topological Information of PPI Network for Drug Synergism Prediction

Authors: Nguyen, Giang T.T., Phuong, Kien T., Nguyen-Trong, Khanh, Le, Duc-Hau

Source: 2023 RIVF International Conference on Computing and Communication Technologies (RIVF) Computing and Communication Technologies (RIVF), 2023 RIVF International Conference on. :83-88 Dec, 2023

Relation: 2023 RIVF International Conference on Computing and Communication Technologies (RIVF)

Protein function prediction using graph neural network with multi-type biological knowledge

Authors: Shuai, Y., Wang, W., Li, Y., Zeng, M., Li, M.

Source: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2023 IEEE International Conference on. :30-35 Dec, 2023

Relation: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

Predicting Protein-Protein Interactions Using Sequence and Network Information via Variational Graph Autoencoder

Authors: Luo, X., Wang, L., Hu, P., Hu, L.

Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics IEEE/ACM Trans. Comput. Biol. and Bioinf. Computational Biology and Bioinformatics, IEEE/ACM Transactions on. 20(5):3182-3194 Jan, 2023

Network-based methods with heterogeneous data to identify severe COVID immune-related genes

Authors: Sagulkoo, Pakorn, Suratanee, Apichat, Plaimas, Kitiporn

Source: 2022 26th International Computer Science and Engineering Conference (ICSEC) Computer Science and Engineering Conference (ICSEC), 2022 26th International. :334-339 Dec, 2022

Relation: 2022 26th International Computer Science and Engineering Conference (ICSEC)

Graph Family Characterization using the Path Length Array

Authors: Kumar, Pardeep, Arora, Sanjay

Source: 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART) System Modeling & Advancement in Research Trends (SMART), 2022 11th International Conference on. :1018-1022 Dec, 2022

Relation: 2022 11th International Conference on System Modeling & Advancement in Research Trends (SMART)

Identification of Essential Protein Using Chemical Reaction Optimization and Machine Learning Technique

Authors: Inzamam-Ul-Hossain, M., Islam, M.R.

Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics IEEE/ACM Trans. Comput. Biol. and Bioinf. Computational Biology and Bioinformatics, IEEE/ACM Transactions on. 20(3):2122-2135 Jun, 2023

PPISB: A Novel Network-Based Algorithm of Predicting Protein-Protein Interactions With Mixed Membership Stochastic Blockmodel

Authors: Wang, X., Yang, W., Yang, Y., He, Y., Zhang, J., Wang, L., Hu, L.

Source: IEEE/ACM Transactions on Computational Biology and Bioinformatics IEEE/ACM Trans. Comput. Biol. and Bioinf. Computational Biology and Bioinformatics, IEEE/ACM Transactions on. 20(2):1606-1612 Apr, 2023

A novel investigation of NANOG and POU5F1 associations in the pluripotent characterization of ES-like and epiblast cells

Authors: Mehdi Mehdinezhad Roshan, Hossein Azizi, Kiana Sojoudi

Source: Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)

Subject Terms: NANOG, POU5F1, ES-like cells, Epiblast cells, Spermatogenesis, PPI network, Medicine, Science

File Description: electronic resource

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

Access URL: https://doaj.org/article/41cc54ffb34c439ea08aff2b1f1f9605

Identification of hub genes, non-coding RNAs and pathways in Renal cell carcinoma (RCC): A comprehensive in silico study

Authors: Ahmad Golestanifar, Hengameh Khedri, Parisa Noorabadi, Mohammadreza Saberiyan

Source: Biochemistry and Biophysics Reports, Vol 41, Iss , Pp 101942- (2025)

Subject Terms: Non-coding RNAs, Renal cell carcinoma, Diagnostic biomarkers, Protein-protein interaction (PPI) network, Biology (General), QH301-705.5, Biochemistry, QD415-436

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405580825000299; https://doaj.org/toc/2405-5808

Access URL: https://doaj.org/article/17fc12a7aa734a38b130444e85da658d

Identifying Hub Genes and Pathways in Pancreatic Ductal Adenocarcinoma (PAAD): A comprehensive in silico study

Authors: Elham Karimi, Niloufar Sadat Kalaki, Seyed Mohammad Akrami

Source: Biochemistry and Biophysics Reports, Vol 41, Iss , Pp 101921- (2025)

Subject Terms: Pancreatic cancer, PAAD, PPI network, Diagnostic biomarkers, Biology (General), QH301-705.5, Biochemistry, QD415-436

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2405580825000081; https://doaj.org/toc/2405-5808

Access URL: https://doaj.org/article/784cf71ecd9343d78f380eb254f4798b

Identification of potential druggable targets for endometriosis through Mendelian randomization analysis

Authors: Peng Chen, Xin Wei, Xiao-Ke Li, Yi-Hang Zhou, Qi-Fang Liu, Ling Ou-Yang

Source: Frontiers in Endocrinology, Vol 15 (2025)

Subject Terms: endometriosis, Mendelian randomization, drug target, PPI network, enrichment analysis, Diseases of the endocrine glands. Clinical endocrinology, RC648-665

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fendo.2024.1371498/full; https://doaj.org/toc/1664-2392

Access URL: https://doaj.org/article/99a14ab6e0c34db595028b53ebdc0a90

Screening key genes for intracranial aneurysm rupture using LASSO regression and the SVM-RFE algorithm

Authors: Qi Wu, Chunli Yang, Cuilan Huang, Zhiying Lin

Source: Frontiers in Medicine, Vol 11 (2025)

Subject Terms: LASSO regression, SVM-RFE algorithm, intracranial aneurysm, ROC curve, PPI network, Medicine (General), R5-920

File Description: electronic resource

Relation: https://www.frontiersin.org/articles/10.3389/fmed.2024.1487224/full; https://doaj.org/toc/2296-858X

Access URL: https://doaj.org/article/54335b1a3c314fb9b68c0ed7d1034ff1