All Relations between matrix compartment and semantic similarity

Publication Sentence Publish Date Extraction Date Species
Meijia Zhang, Junzheng Li, Xiyuan Zhen. Semantic embedding based online cross-modal hashing method. Scientific reports. vol 14. issue 1. 2024-01-06. PMID:38184671. to exploit the semantic information, we map the semantic labels to a latent semantic space and construct a semantic similarity matrix to preserve the similarity between new data and existing data in the hamming space. 2024-01-06 2024-01-09 Not clear
Lieqing Lin, Ruibin Chen, Yinting Zhu, Weijie Xie, Huaiguo Jing, Langcheng Chen, Minqing Zo. SCCPMD: Probability matrix decomposition method subject to corrected similarity constraints for inferring long non-coding RNA-disease associations. Frontiers in microbiology. vol 13. 2023-01-30. PMID:36713213. the microbe-disease associations are first used to enrich the disease semantic similarity matrix, and then the logistic function is used to correct the lncrna and disease similarity matrix, and then these two corrected similarity matrices are added to the probability matrix decomposition as constraints to finally predict the potential lncrna-disease associations. 2023-01-30 2023-08-14 human
Zhou Huang, Yu Han, Leibo Liu, Qinghua Cui, Yuan Zho. LE-MDCAP: A Computational Model to Prioritize Causal miRNA-Disease Associations. International journal of molecular sciences. vol 22. issue 24. 2021-12-24. PMID:34948403. le-mdcap integrated mirna similarity matrices, disease semantic similarity matrix and known causal mirna-disease associations to make predictions. 2021-12-24 2023-08-13 human
Lei Li, Zhen Gao, Chun-Hou Zheng, Rong Qi, Yu-Tian Wang, Jian-Cheng N. Predicting miRNA-Disease Association Based on Improved Graph Regression. IEEE/ACM transactions on computational biology and bioinformatics. vol PP. 2021-11-17. PMID:34757912. in order to reduce the inherent noise existing in the acquired biological datasets, we utilized matrix decomposition algorithm to process mirna functional similarity and disease semantic similarity and then combining them with existing similarity information to obtain final mirna similarity data and disease similarity data. 2021-11-17 2023-08-13 human
Ahmet Toprak, Esma Eryilmaz Doga. Prediction of Potential MicroRNA-Disease Association Using Kernelized Bayesian Matrix Factorization. Interdisciplinary sciences, computational life sciences. vol 13. issue 4. 2021-10-19. PMID:34370220. in this paper, a kernelized bayesian matrix factorization (kbmf) technique was suggested to predict new relations among mirnas and diseases with several information such as mirna functional similarity, disease semantic similarity, and known relations among mirnas and diseases. 2021-10-19 2023-08-13 Not clear
Meng-Meng Yin, Zhen Cui, Ming-Ming Gao, Jin-Xing Liu, Ying-Lian Ga. LWPCMF: Logistic Weighted Profile-Based Collaborative Matrix Factorization for Predicting MiRNA-Disease Associations. IEEE/ACM transactions on computational biology and bioinformatics. vol 18. issue 3. 2021-08-30. PMID:31478868. in addition, logistic function is applied to mirna functional similarity matrix and disease semantic similarity matrix to extract valuable information. 2021-08-30 2023-08-13 Not clear
Shaoyu Tao, Chaoyuan Shen, Li Zhu, Tao Da. SVD-CNN: A Convolutional Neural Network Model with Orthogonal Constraints Based on SVD for Context-Aware Citation Recommendation. Computational intelligence and neuroscience. vol 2020. 2021-07-28. PMID:33149736. in existing neural network-based approaches, overcorrelation in the weight matrix influences semantic similarity, which is a difficult problem to solve. 2021-07-28 2023-08-13 Not clear
Thirunavukarasu Balasubramaniam, Richi Nayak, Khanh Luong, Md Abul Basha. Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization. Social network analysis and mining. vol 11. issue 1. 2021-06-22. PMID:34149960. moreover, the coupled matrix tensor representation has improved the quality of topics discovered from unlabelled data up to 4% by leveraging the semantic similarity of terms in labelled data. 2021-06-22 2023-08-13 Not clear
Mohan Timilsina, Meera Tandan, Mathieu d'Aquin, Haixuan Yan. Discovering Links Between Side Effects and Drugs Using a Diffusion Based Method. Scientific reports. vol 9. issue 1. 2020-10-29. PMID:31320740. we integrated the bipartite graph and the semantic similarity graph using a matrix factorization method and a diffusion based model. 2020-10-29 2023-08-13 Not clear
Veerle Neyens, Rose Bruffaerts, Antonietta G Liuzzi, Ioannis Kalfas, Ronald Peeters, Emmanuel Keuleers, Rufin Vogels, Simon De Deyne, Gert Storms, Patrick Dupont, Rik Vandenbergh. Representation of Semantic Similarity in the Left Intraparietal Sulcus: Functional Magnetic Resonance Imaging Evidence. Frontiers in human neuroscience. vol 11. 2020-09-30. PMID:28824405. semantic similarity between entities was estimated based on a concept-feature matrix obtained in more than 1,000 subjects. 2020-09-30 2023-08-13 human
Bin-Sheng He, Jia Qu, Qi Zha. Identifying and Exploiting Potential miRNA-Disease Associations With Neighborhood Regularized Logistic Matrix Factorization. Frontiers in genetics. vol 9. 2020-09-30. PMID:30131824. in this study, we proposed a neighborhood regularized logistic matrix factorization method for mirna-disease association prediction (nrlmfmda) by integrating mirna functional similarity, disease semantic similarity, gaussian interaction profile kernel similarity, and experimentally validation of disease-mirna association. 2020-09-30 2023-08-13 Not clear
Yingwen Zhao, Guangyuan Fu, Jun Wang, Maozu Guo, Guoxian Y. Gene function prediction based on Gene Ontology Hierarchy Preserving Hashing. Genomics. vol 111. issue 3. 2019-12-06. PMID:29477548. after that, hphash utilizes these hashing functions to project the gene-term association matrix into a low-dimensional one and performs semantic similarity based gene function prediction in the low-dimensional space. 2019-12-06 2023-08-13 mouse
Chang Tang, Hua Zhou, Xiao Zheng, Yanming Zhang, Xiaofeng Sh. Dual Laplacian regularized matrix completion for microRNA-disease associations prediction. RNA biology. vol 16. issue 5. 2019-11-26. PMID:30676207. meanwhile, the mirna functional similarity and the disease semantic similarity were fully exploited to serve the mirna-disease association matrix completion by using a dual laplacian regularization term. 2019-11-26 2023-08-13 human
Cheng Deng, Erkun Yang, Tongliang Liu, Jie Li, Wei Liu, Dacheng Ta. Unsupervised Semantic-Preserving Adversarial Hashing for Image Search. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 28. issue 8. 2019-06-24. PMID:30872226. we also propose a novel strategy, which utilizes both feature and neighbor similarities, to construct a semantic similarity matrix, then use this matrix to guide the hash code learning process. 2019-06-24 2023-08-13 Not clear
Cheng Deng, Erkun Yang, Tongliang Liu, Jie Li, Wei Liu, Dacheng Ta. Unsupervised Semantic-Preserving Adversarial Hashing for Image Search. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. vol 28. issue 8. 2019-06-24. PMID:30872226. integrating the supervision of this semantic similarity matrix into the adversarial learning framework can efficiently preserve the semantic information of training data in hamming space. 2019-06-24 2023-08-13 Not clear
Xing Chen, Jun Yin, Jia Qu, Li Huan. MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction. PLoS computational biology. vol 14. issue 8. 2018-12-28. PMID:30142158. in this study, we developed a computational model of matrix decomposition and heterogeneous graph inference for mirna-disease association prediction (mdhgi) to discover new mirna-disease associations by integrating the predicted association probability obtained from matrix decomposition through sparse learning method, the mirna functional similarity, the disease semantic similarity, and the gaussian interaction profile kernel similarity for diseases and mirnas into a heterogeneous network. 2018-12-28 2023-08-13 human
Guoxian Yu, Yingwen Zhao, Chang Lu, Jun Wan. HashGO: hashing gene ontology for protein function prediction. Computational biology and chemistry. vol 71. 2018-04-23. PMID:29031869. next, hashgo computes the semantic similarity between proteins based on hamming distance on that low-dimensional matrix. 2018-04-23 2023-08-13 human
Nan Xiao, Dong-Sheng Cao, Min-Feng Zhu, Qing-Song X. protr/ProtrWeb: R package and web server for generating various numerical representation schemes of protein sequences. Bioinformatics (Oxford, England). vol 31. issue 11. 2015-10-26. PMID:25619996. the protr package also integrates the functionality of similarity score computation derived by protein sequence alignment and gene ontology semantic similarity measures within a list of proteins, and calculates profile-based protein features based on position-specific scoring matrix. 2015-10-26 2023-08-13 Not clear
Mousami Srivastava, Pankaj Khurana, Ragumani Sugade. Lung cancer signature biomarkers: tissue specific semantic similarity based clustering of digital differential display (DDD) data. BMC research notes. vol 5. 2013-06-05. PMID:23122428. this semantic similarity score matrix based on hierarchical clustering represents in the form of a dendrogram. 2013-06-05 2023-08-12 Not clear
R K Solanki, Vaibhav Dubey, Deepti Munsh. Neurocognitive impairment and comorbid depression in patients of diabetes mellitus. International journal of diabetes in developing countries. vol 29. issue 3. 2011-07-14. PMID:20165651. the cognitive function was then assessed using the digit span test, stroop test, controlled oral word association test, visual target cancellation test, digit symbol substitution test, and visuospatial working memory matrix. 2011-07-14 2023-08-12 human