Jul 26, 2021 · We present a new computational framework to identify cell types by integrating low-rank representation (LRR) and nonnegative matrix ...
Here, we present an NMF-based clustering method, NMFLRR, constructed by incorporating the LRR model and characterize the local nonlinear relationship between ...
Mar 29, 2022 · We present a new computational framework to identify cell types by integrating low-rank representation (LRR) and nonnegative matrix ...
NMFLRR: Clustering scRNA-Seq Data by Integrating Nonnegative Matrix Factorization With Low Rank Representation. Wei Zhang, Xiaoli Xue, Xiaoying Zheng, Zizhu ...
NMFLRR: Clustering scRNA-Seq Data by Integrating Nonnegative Matrix Factorization With Low Rank Representation. https://doi.org/10.1109/jbhi.2021.3099127 ·.
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NMFLRR: Clustering scRNA-Seq Data by Integrating Nonnegative Matrix Factorization With Low Rank Representation. Article. Full-text available. Jul 2021. Xiaoli ...
Apr 29, 2024 · NMFLRR: clustering scRNA-seq data by integrating nonnegative matrix factorization with low rank representation. IEEE Biomed Health Inf. 2021 ...
NMFLRR: Clustering scRNA-Seq Data by Integrating Nonnegative Matrix Factorization With Low Rank Representation. 28 Feb 2022. - IEEE Journal of Biomedical and ...
NMFLRR: clustering scRNA-seq data by integrating nonnegative matrix factorization with low rank representation. IEEE Biomed Health Inf. 2021;26(3):1394–405 ...
NMFLRR: Clustering scRNA-Seq Data by Integrating Nonnegative Matrix Factorization With Low Rank Representation ... nonnegative matrix factorization (NMF) ...