These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
184 related articles for article (PubMed ID: 35296232)
21. MDAKRLS: Predicting human microbe-disease association based on Kronecker regularized least squares and similarities. Xu D; Xu H; Zhang Y; Wang M; Chen W; Gao R J Transl Med; 2021 Feb; 19(1):66. PubMed ID: 33579301 [TBL] [Abstract][Full Text] [Related]
22. Identification and Analysis of Human Microbe-Disease Associations by Matrix Decomposition and Label Propagation. Qu J; Zhao Y; Yin J Front Microbiol; 2019; 10():291. PubMed ID: 30863376 [TBL] [Abstract][Full Text] [Related]
23. Human Microbe-Disease Association Prediction With Graph Regularized Non-Negative Matrix Factorization. He BS; Peng LH; Li Z Front Microbiol; 2018; 9():2560. PubMed ID: 30443240 [TBL] [Abstract][Full Text] [Related]
24. A novel approach for predicting microbe-disease associations by bi-random walk on the heterogeneous network. Zou S; Zhang J; Zhang Z PLoS One; 2017; 12(9):e0184394. PubMed ID: 28880967 [TBL] [Abstract][Full Text] [Related]
25. MNNMDA: Predicting human microbe-disease association via a method to minimize matrix nuclear norm. Liu H; Bing P; Zhang M; Tian G; Ma J; Li H; Bao M; He K; He J; He B; Yang J Comput Struct Biotechnol J; 2023; 21():1414-1423. PubMed ID: 36824227 [TBL] [Abstract][Full Text] [Related]
26. RWHMDA: Random Walk on Hypergraph for Microbe-Disease Association Prediction. Niu YW; Qu CQ; Wang GH; Yan GY Front Microbiol; 2019; 10():1578. PubMed ID: 31354672 [TBL] [Abstract][Full Text] [Related]
27. MHIPM: Accurate Prediction of Microbe-Host Interactions Using Multiview Features from a Heterogeneous Microbial Network. Pan J; Zhang G; Yang Y; Yang W; Mao N; You Z; Feng J; Wang S; Sun Y J Chem Inf Model; 2024 Oct; 64(19):7793-7805. PubMed ID: 39289839 [TBL] [Abstract][Full Text] [Related]
28. Predicting human microbe-drug associations via graph convolutional network with conditional random field. Long Y; Wu M; Kwoh CK; Luo J; Li X Bioinformatics; 2020 Dec; 36(19):4918-4927. PubMed ID: 32597948 [TBL] [Abstract][Full Text] [Related]
29. Prediction of potential drug-microbe associations based on matrix factorization and a three-layer heterogeneous network. Li H; Hou ZJ; Zhang WG; Qu J; Yao HB; Chen Y Comput Biol Chem; 2023 Jun; 104():107857. PubMed ID: 37018909 [TBL] [Abstract][Full Text] [Related]
30. A comprehensive evaluation of the sl1p pipeline for 16S rRNA gene sequencing analysis. Whelan FJ; Surette MG Microbiome; 2017 Aug; 5(1):100. PubMed ID: 28807046 [TBL] [Abstract][Full Text] [Related]
31. BN-BacArena: Bayesian network extension of BacArena for the dynamic simulation of microbial communities. Blasco T; Balzerani F; Valcárcel LV; Larrañaga P; Bielza C; Francino MP; Rufián-Henares JÁ; Planes FJ; Pérez-Burillo S Bioinformatics; 2024 May; 40(5):. PubMed ID: 38688585 [TBL] [Abstract][Full Text] [Related]
32. SAELGMDA: Identifying human microbe-disease associations based on sparse autoencoder and LightGBM. Wang F; Yang H; Wu Y; Peng L; Li X Front Microbiol; 2023; 14():1207209. PubMed ID: 37415823 [TBL] [Abstract][Full Text] [Related]
33. LRLSHMDA: Laplacian Regularized Least Squares for Human Microbe-Disease Association prediction. Wang F; Huang ZA; Chen X; Zhu Z; Wen Z; Zhao J; Yan GY Sci Rep; 2017 Aug; 7(1):7601. PubMed ID: 28790448 [TBL] [Abstract][Full Text] [Related]
34. DMFMDA: Prediction of Microbe-Disease Associations Based on Deep Matrix Factorization Using Bayesian Personalized Ranking. Liu Y; Wang SL; Zhang JF; Zhang W; Zhou S; Li W IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(5):1763-1772. PubMed ID: 32816678 [TBL] [Abstract][Full Text] [Related]
35. Microbe-Disease Association Prediction Using RGCN Through Microbe-Drug-Disease Network. Wang Y; Lei X; Pan Y IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(6):3353-3362. PubMed ID: 37027603 [TBL] [Abstract][Full Text] [Related]
36. Predicting Microbe-Disease Association Based on Multiple Similarities and LINE Algorithm. Wang Y; Lei X; Lu C; Pan Y IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(4):2399-2408. PubMed ID: 34014827 [TBL] [Abstract][Full Text] [Related]
37. Identifying Microbe-Disease Association Based on a Novel Back-Propagation Neural Network Model. Li H; Wang Y; Zhang Z; Tan Y; Chen Z; Wang X; Pei T; Wang L IEEE/ACM Trans Comput Biol Bioinform; 2021; 18(6):2502-2513. PubMed ID: 32305935 [TBL] [Abstract][Full Text] [Related]
38. Prioritizing disease-causing microbes based on random walking on the heterogeneous network. Shen X; Chen Y; Jiang X; Hu X; He T; Yang J Methods; 2017 Jul; 124():120-125. PubMed ID: 28625914 [TBL] [Abstract][Full Text] [Related]
39. Predicting potential microbe-disease associations based on multi-source features and deep learning. Wang L; Wang Y; Xuan C; Zhang B; Wu H; Gao J Brief Bioinform; 2023 Jul; 24(4):. PubMed ID: 37406190 [TBL] [Abstract][Full Text] [Related]
40. Finding Colon Cancer- and Colorectal Cancer-Related Microbes Based on Microbe-Disease Association Prediction. Chen Y; Sun H; Sun M; Shi C; Sun H; Shi X; Ji B; Cui J Front Microbiol; 2021; 12():650056. PubMed ID: 33796094 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]