| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Ishfaq Majeed Sheikh, Manzoor Ahmad Chacho. An enforced block diagonal low-rank representation method for the classification of medical image patterns. International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management. 2022-01-25. PMID:35075441. |
most of the time, the input data pattern is used as the dictionary for learning the representation matrix. |
2022-01-25 |
2023-08-13 |
Not clear |
| Qi Li. A truncated nuclear norm and graph-Laplacian regularized low-rank representation method for tumor clustering and gene selection. BMC bioinformatics. vol 22. issue Suppl 12. 2022-01-21. PMID:35057728. |
as a matrix factorization, low-rank representation (lrr) has attracted lots of attentions in clustering and feature selection, but sometimes its performance is frustrated when the data samples are insufficient or contain a lot of noise. |
2022-01-21 |
2023-08-13 |
Not clear |
| Sajit Kumar, Alicia Nanelia, Ragunathan Mariappan, Adithya Rajagopal, Vaibhav Raja. Patient Representation Learning From Heterogeneous Data Sources and Knowledge Graphs Using Deep Collective Matrix Factorization: Evaluation Study. JMIR medical informatics. vol 10. issue 1. 2022-01-20. PMID:35049514. |
patient representation learning from heterogeneous data sources and knowledge graphs using deep collective matrix factorization: evaluation study. |
2022-01-20 |
2023-08-13 |
Not clear |
| Amartya Bose, Peter L Walter. A multisite decomposition of the tensor network path integrals. The Journal of chemical physics. vol 156. issue 2. 2022-01-16. PMID:35032978. |
in order to facilitate the incorporation of the influence functional into a multisite framework (ms-tnpi), we combine a matrix product state (mps) decomposition of the reduced density tensor of the system along the sites with a corresponding tensor network representation of the time axis to construct an efficient 2d tensor network. |
2022-01-16 |
2023-08-13 |
Not clear |
| Xiaoxiao Lv, Jinde Cao, Xiaodi Li, Yiping Lu. Local Synchronization of Directed Lur'e Networks With Coupling Delay via Distributed Impulsive Control Subject to Actuator Saturation. IEEE transactions on neural networks and learning systems. vol PP. 2022-01-11. PMID:35015653. |
first, by utilizing proof by contradiction, impulsive comparison principle, and latest improved convex hull representation of saturation function, some delay-independent sufficient criteria for local exponential synchronization are presented in the form of bilinear matrix inequalities. |
2022-01-11 |
2023-08-13 |
human |
| Reyhaneh Abolghasemi, Somayeh Ebrahimi-Barough, Abdolreza Mohamadnia, Jafar A. Synergistic inhibitory effect of human umbilical cord matrix mesenchymal stem cells-conditioned medium and atorvastatin on MCF7 cancer cells viability and migration. Cell and tissue banking. 2022-01-06. PMID:34988840. |
schematic representation of "synergistic inhibitory effect of human umbilical cord matrix mesenchymal stem cells-conditioned medium and atorvastatin on mcf7 cancer cells viablity and migration" by: dr. reyhaneh abolghasemi, dr. somayeh ebrahimi-barough, proffesor. |
2022-01-06 |
2023-08-13 |
human |
| Alberto Stracuzzi, Ben R Britt, Edoardo Mazza, Alexander E Ehre. Risky interpretations across the length scales: continuum vs. discrete models for soft tissue mechanobiology. Biomechanics and modeling in mechanobiology. 2022-01-05. PMID:34985590. |
since cells anchor to the collagen fibres within the extracellular matrix, the reliable representation of fibre deformation is a prerequisite for models that aim at linking tissue biomechanics and cell mechanobiology. |
2022-01-05 |
2023-08-13 |
Not clear |
| Federica Foglietta, Loredana Serpe, Roberto Canapar. The Effective Combination between 3D Cancer Models and Stimuli-Responsive Nanoscale Drug Delivery Systems. Cells. vol 10. issue 12. 2021-12-24. PMID:34943803. |
one of the main drawbacks of 2d cell cultures is their inadequate representation of the 3d environment's physiological complexity, which sees cells interact with each other and the extracellular matrix (ecm) according to their specific cellular organization. |
2021-12-24 |
2023-08-13 |
Not clear |
| M Zandee, M C Roo. COMPONENT-COMPATIBILITY IN HISTORICAL BIOGEOGRAPHY. Cladistics : the international journal of the Willi Hennig Society. vol 3. issue 4. 2021-12-24. PMID:34949059. |
the first matrix gives the binary representation of distributions of taxa over areas of endemism; the second describes the cladogram for the same taxa, in terms of character states converted into binary form by additive binary coding. |
2021-12-24 |
2023-08-13 |
Not clear |
| M F Mickevich, Diana Lipscom. PARSIMONY AND THE CHOICE BETWEEN DIFFERENT TRANSFORMATIONS FOR THE SAME CHARACTER SET. Cladistics : the international journal of the Willi Hennig Society. vol 7. issue 2. 2021-12-21. PMID:34929943. |
nearest neighbor networks are graphical representations of the nearest neighbor matrix. |
2021-12-21 |
2023-08-13 |
Not clear |
| Jian Liu, Yuhu Cheng, Xuesong Wang, Shuguang G. One-Step Robust Low-Rank Subspace Segmentation for Tumor Sample Clustering. Computational intelligence and neuroscience. vol 2021. 2021-12-20. PMID:34925501. |
for a gene expression data set, we seek its lowest rank representation matrix and the noise matrix. |
2021-12-20 |
2023-08-13 |
Not clear |
| Chihiro Watanabe, Taiji Suzuk. Deep two-way matrix reordering for relational data analysis. Neural networks : the official journal of the International Neural Network Society. vol 146. 2021-12-17. PMID:34920268. |
most existing matrix reordering techniques share the common processes of extracting some feature representations from an observed matrix in a predefined manner, and applying matrix reordering based on it. |
2021-12-17 |
2023-08-13 |
Not clear |
| Takeshi D Itoh, Koji Ishihara, Jun Morimot. Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment. Neural computation. 2021-12-16. PMID:34915580. |
implicit contact dynamics modeling with explicit inertia matrix representation for real-time, model-based control in physical environment. |
2021-12-16 |
2023-08-13 |
Not clear |
| Takeshi D Itoh, Koji Ishihara, Jun Morimot. Implicit Contact Dynamics Modeling With Explicit Inertia Matrix Representation for Real-Time, Model-Based Control in Physical Environment. Neural computation. 2021-12-16. PMID:34915580. |
to this end, we propose a structured neural network model predicting a control (snn-mpc) method, whose neural network architecture is designed with explicit inertia matrix representation. |
2021-12-16 |
2023-08-13 |
Not clear |
| Hannah Franziska Löchel, Dominik Heide. Chaos game representation and its applications in bioinformatics. Computational and structural biotechnology journal. vol 19. 2021-12-13. PMID:34900136. |
the algorithm maps a sequence to 2-dimensional space, while an extension of the cgr, the so-called frequency matrix representation (fcgr), transforms sequences of different lengths into equal-sized images or matrices. |
2021-12-13 |
2023-08-13 |
Not clear |
| Stefania Marcotti, Deandra Belo de Freitas, Lee D Troughton, Fiona N Kenny, Tanya J Shaw, Brian M Stramer, Patrick W Oake. A workflow for rapid unbiased quantification of fibrillar feature alignment in biological images. Frontiers in computer science. vol 3. 2021-12-11. PMID:34888522. |
different approaches have been developed to quantify these structures, typically based on fibre segmentation or on matrix representation and transformation of the image, each with its own advantages and disadvantages. |
2021-12-11 |
2023-08-13 |
Not clear |
| Hadi Zanddizari, Ankita Dey, Sreeraman Raja. Image Super-Resolution Through Compressive Sensing-based Recovery. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. vol 2021. 2021-12-11. PMID:34892109. |
then along with a sparsification matrix, the sparse representation of hr image is first recovered and subsequently the dense hr image is obtained. |
2021-12-11 |
2023-08-13 |
Not clear |
| The nightmare of the combination: comments on matrix representation with parsimony and its first application in biogeography. Cladistics : the international journal of the Willi Hennig Society. vol 20. issue 2. 2021-12-11. PMID:34892929. |
the nightmare of the combination: comments on matrix representation with parsimony and its first application in biogeography. |
2021-12-11 |
2023-08-13 |
Not clear |
| Min Zeng, Chengqian Lu, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min L. DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations. IEEE/ACM transactions on computational biology and bioinformatics. vol 18. issue 6. 2021-12-10. PMID:32248123. |
current matrix factorization-based methods cannot capture the complex non-linear relationship between lncrnas and diseases, and traditional machine learning-based methods are not sufficiently powerful to learn the representation of lncrnas and diseases. |
2021-12-10 |
2023-08-13 |
human |
| Min Zeng, Chengqian Lu, Zhihui Fei, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min L. DMFLDA: A Deep Learning Framework for Predicting lncRNA-Disease Associations. IEEE/ACM transactions on computational biology and bioinformatics. vol 18. issue 6. 2021-12-10. PMID:32248123. |
in addition, dmflda learns features directly from the lncrna-disease interaction matrix and thus can obtain more accurate representation learning for lncrnas and diseases than traditional machine learning methods. |
2021-12-10 |
2023-08-13 |
human |