Cargando…

Identifying Subspace Gene Clusters from Microarray Data Using Low-Rank Representation

Identifying subspace gene clusters from the gene expression data is useful for discovering novel functional gene interactions. In this paper, we propose to use low-rank representation (LRR) to identify the subspace gene clusters from microarray data. LRR seeks the lowest-rank representation among al...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cui, Yan, Zheng, Chun-Hou, Yang, Jian
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2013
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3602020/ https://www.ncbi.nlm.nih.gov/pubmed/23527177 http://dx.doi.org/10.1371/journal.pone.0059377

Ejemplares similares

Generalized gene co-expression analysis via subspace clustering using low-rank representation
por: Wang, Tongxin, et al.
Publicado: (2019)

One-Step Robust Low-Rank Subspace Segmentation for Tumor Sample Clustering
por: Liu, Jian, et al.
Publicado: (2021)

Robust auto-weighted multi-view subspace clustering with common subspace representation matrix
por: Zhuge, Wenzhang, et al.
Publicado: (2017)

Discriminant Subspace Low-Rank Representation Algorithm for Electroencephalography-Based Alzheimer’s Disease Recognition
por: Tang, Tusheng, et al.
Publicado: (2022)

LogDet Rank Minimization with Application to Subspace Clustering
por: Kang, Zhao, et al.
Publicado: (2015)

Subspace structural constraint-based discriminative feature learning via nonnegative low rank representation
por: Li, Ao, et al.
Publicado: (2019)

scDSSC: Deep Sparse Subspace Clustering for scRNA-seq Data
por: Wang, HaiYun, et al.
Publicado: (2022)

Subspace-constrained approaches to low-rank fMRI acceleration
por: Mason, Harry T., et al.
Publicado: (2021)

Non-Convex Sparse and Low-Rank Based Robust Subspace Segmentation for Data Mining
por: Cheng, Wenlong, et al.
Publicado: (2017)

Low-Rank and Eigenface Based Sparse Representation for Face Recognition
por: Hou, Yi-Fu, et al.
Publicado: (2014)

Refining electronic medical records representation in manifold subspace
por: Wang, Bolin, et al.
Publicado: (2022)

Sparse Representation for Tumor Classification Based on Feature Extraction Using Latent Low-Rank Representation
por: Gan, Bin, et al.
Publicado: (2014)

Recovering task fMRI signals from highly under-sampled data with low-rank and temporal subspace constraints
por: Chiew, Mark, et al.
Publicado: (2018)

Microarray enriched gene rank
por: Demidenko, Eugene
Publicado: (2015)

SSRE: Cell Type Detection Based on Sparse Subspace Representation and Similarity Enhancement
por: Liang, Zhenlan, et al.
Publicado: (2021)

Genome classification by gene distribution: An overlapping subspace clustering approach
por: Li, Jason, et al.
Publicado: (2008)

Face Recognition Using Sparse Representation-Based Classification on K-Nearest Subspace
por: Mi, Jian-Xun, et al.
Publicado: (2013)

An Adaptive Sparse Subspace Clustering for Cell Type Identification
por: Zheng, Ruiqing, et al.
Publicado: (2020)

Spectral Clustering by Subspace Randomization and Graph Fusion for High-Dimensional Data
por: Cai, Xiaosha, et al.
Publicado: (2020)

Application of Subspace Clustering in DNA Sequence Analysis
por: Wallace, Tim, et al.
Publicado: (2015)

Iterative rank-order normalization of gene expression microarray data
por: Welsh, Eric A, et al.
Publicado: (2013)

Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data
por: Wang, Juan, et al.
Publicado: (2022)

A self-training subspace clustering algorithm based on adaptive confidence for gene expression data
por: Li, Dan, et al.
Publicado: (2023)

A novel subspace outlier detection method by entropy-based clustering algorithm
por: Zuo, Zheng, et al.
Publicado: (2023)

Tumor classification ranking from microarray data
por: Hewett, Rattikorn, et al.
Publicado: (2008)

Ranking analysis of F-statistics for microarray data
por: Tan, Yuan-De, et al.
Publicado: (2008)

Multi-view Subspace Clustering Analysis for Aggregating Multiple Heterogeneous Omics Data
por: Shi, Qianqian, et al.
Publicado: (2019)

Detecting Arbitrarily Oriented Subspace Clusters in Data Streams Using Hough Transform
por: Borutta, Felix, et al.
Publicado: (2020)

Subspace-by-subspace preconditioners for structured linear systems
por: Daydé, M J, et al.
Publicado: (1998)

Algebraic approach for subspace decomposition and clustering of neural activity
por: Adam, Elie M., et al.
Publicado: (2022)

Non-Negative Symmetric Low-Rank Representation Graph Regularized Method for Cancer Clustering Based on Score Function
por: Lu, Conghai, et al.
Publicado: (2020)

A truncated nuclear norm and graph-Laplacian regularized low-rank representation method for tumor clustering and gene selection
por: Liu, Qi
Publicado: (2022)

Koopman Invariant Subspaces and Finite Linear Representations of Nonlinear Dynamical Systems for Control
por: Brunton, Steven L., et al.
Publicado: (2016)

Low-Rank Representation of Head Impact Kinematics: A Data-Driven Emulator
por: Arrué, Patricio, et al.
Publicado: (2020)

A fuzzy based feature selection from independent component subspace for machine learning classification of microarray data
por: Aziz, Rabia, et al.
Publicado: (2016)

Invariant subspaces
por: Radjavi, Heydar, et al.
Publicado: (1973)

Analyzing Microarray Data of Alzheimer's Using Cluster Analysis to Identify the Biomarker Genes
por: Guttula, Satya vani, et al.
Publicado: (2012)

Collaborative representation-based classification of microarray gene expression data
por: Shen, Lizhen, et al.
Publicado: (2017)

Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data †
por: Hoppenstedt, Burkhard, et al.
Publicado: (2019)

Entropy subspace separation-based clustering for noise reduction (ENCORE) of scRNA-seq data
por: Song, Jia, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_4r84fjgcuomhf9mrcdkaqdjpcs