Cargando…

Dimension Reduction and Clustering Models for Single-Cell RNA Sequencing Data: A Comparative Study

With recent advances in single-cell RNA sequencing, enormous transcriptome datasets have been generated. These datasets have furthered our understanding of cellular heterogeneity and its underlying mechanisms in homogeneous populations. Single-cell RNA sequencing (scRNA-seq) data clustering can grou...

Descripción completa

Detalles Bibliográficos
Autores principales:	Feng, Chao, Liu, Shufen, Zhang, Hao, Guan, Renchu, Li, Dan, Zhou, Fengfeng, Liang, Yanchun, Feng, Xiaoyue
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2020
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139673/ https://www.ncbi.nlm.nih.gov/pubmed/32235704 http://dx.doi.org/10.3390/ijms21062181

Ejemplares similares

Cancer Research Trend Analysis Based on Fusion Feature Representation
por: Wu, Jingqiao, et al.
Publicado: (2021)

Trends in Alzheimer's Disease Research Based upon Machine Learning Analysis of PubMed Abstracts
por: Guan, Renchu, et al.
Publicado: (2019)

Full Text Clustering and Relationship Network Analysis of Biomedical Publications
por: Guan, Renchu, et al.
Publicado: (2014)

The Deep Learning–Based Recommender System “Pubmender” for Choosing a Biomedical Publication Venue: Development and Validation Study
por: Feng, Xiaoyue, et al.
Publicado: (2019)

Discovering trends and hotspots of biosafety and biosecurity research via machine learning
por: Guan, Renchu, et al.
Publicado: (2022)

Multi-label Deep Learning for Gene Function Annotation in Cancer Pathways
por: Guan, Renchu, et al.
Publicado: (2018)

Author Correction: Multi-label Deep Learning for Gene Function Annotation in Cancer Pathways
por: Guan, Renchu, et al.
Publicado: (2018)

MISC: missing imputation for single-cell RNA sequencing data
por: Yang, Mary Qu, et al.
Publicado: (2018)

Correction to: MISC: missing imputation for single-cell RNA sequencing data
por: Yang, Mary Qu, et al.
Publicado: (2019)

Joint dimension reduction and clustering analysis of single-cell RNA-seq and spatial transcriptomics data
por: Liu, Wei, et al.
Publicado: (2022)

Similarity-assisted variational autoencoder for nonlinear dimension reduction with application to single-cell RNA sequencing data
por: Kim, Gwangwoo, et al.
Publicado: (2023)

Diagnosis of Breast Hyperplasia and Evaluation of RuXian-I Based on Metabolomics Deep Belief Networks
por: Jiang, Mingyang, et al.
Publicado: (2019)

Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory
por: Cao, Pengfei, et al.
Publicado: (2019)

Feature space learning model
por: Guan, Renchu, et al.
Publicado: (2018)

A comprehensive psychological tendency prediction model for pregnant women based on questionnaires
por: Han, Xiaosong, et al.
Publicado: (2023)

Bioconductor workflow for single-cell RNA sequencing: Normalization, dimensionality reduction, clustering, and lineage inference
por: Perraudeau, Fanny, et al.
Publicado: (2017)

A hotspots analysis-relation discovery representation model for revealing diabetes mellitus and obesity
por: He, Guannan, et al.
Publicado: (2018)

VASC: Dimension Reduction and Visualization of Single-cell RNA-seq Data by Deep Variational Autoencoder
por: Wang, Dongfang, et al.
Publicado: (2018)

Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model
por: Townes, F. William, et al.
Publicado: (2019)

Correspondence analysis for dimension reduction, batch integration, and visualization of single-cell RNA-seq data
por: Hsu, Lauren L., et al.
Publicado: (2023)

Transcription Factor and lncRNA Regulatory Networks Identify Key Elements in Lung Adenocarcinoma
por: Li, Dan, et al.
Publicado: (2018)

Dimension reduction with redundant gene elimination for tumor classification
por: Zeng, Xue-Qiang, et al.
Publicado: (2008)

Comparative analysis of dimension reduction methods for cytometry by time-of-flight data
por: Wang, Kaiwen, et al.
Publicado: (2023)

Author Correction: Feature selection and dimension reduction for single-cell RNA-Seq based on a multinomial model
por: Townes, F. William, et al.
Publicado: (2020)

Processing single-cell RNA-seq data for dimension reduction-based analyses using open-source tools
por: Chen, Bob, et al.
Publicado: (2021)

Nonlinear dimension reduction and clustering by Minimum Curvilinearity unfold neuropathic pain and tissue embryological classes
por: Cannistraci, Carlo Vittorio, et al.
Publicado: (2010)

AGNEP: An Agglomerative Nesting Clustering Algorithm for Phenotypic Dimension Reduction in Joint Analysis of Multiple Phenotypes
por: Liu, Fengrong, et al.
Publicado: (2021)

A new and effective two-step clustering approach for single cell RNA sequencing data
por: Li, Ruiyi, et al.
Publicado: (2023)

Erratum: Dan Li et al.; Transcription Factor and lncRNA Regulatory Networks Identify Key Elements in Lung Adenocarcinoma. Genes 2018, 9, 12
por: Li, Dan, et al.
Publicado: (2018)

Data-driven assessment of dimension reduction quality for single-cell omics data
por: Dong, Xiaoru, et al.
Publicado: (2022)

clustifyr: an R package for automated single-cell RNA sequencing cluster classification
por: Fu, Rui, et al.
Publicado: (2020)

Sparse clusterability: testing for cluster structure in high dimensions
por: Laborde, Jose, et al.
Publicado: (2023)

Comparative performance of the BGI and Illumina sequencing technology for single-cell RNA-sequencing
por: Senabouth, Anne, et al.
Publicado: (2020)

Dimensionality Reduction and Louvain Agglomerative Hierarchical Clustering for Cluster-Specified Frequent Biomarker Discovery in Single-Cell Sequencing Data
por: Seth , Soumita, et al.
Publicado: (2022)

Reduction of dimension for nonlinear dynamical systems
por: Harrington, Heather A., et al.
Publicado: (2016)

Lunar impact crater identification and age estimation with Chang’E data by deep and transfer learning
por: Yang, Chen, et al.
Publicado: (2020)

Unitarity cuts and Reduction to master integrals in d dimensions for one-loop amplitudes
por: Anastasiou, Charalampos, et al.
Publicado: (2006)

Comparative study of unsupervised dimension reduction techniques for the visualization of microarray gene expression data
por: Bartenhagen, Christoph, et al.
Publicado: (2010)

Single-cell RNA Sequencing Analysis Reveals New Immune Disorder Complexities in Hypersplenism
por: Zhao, Hai-chao, et al.
Publicado: (2022)

An optimized graph-based structure for single-cell RNA-seq cell-type classification based on non-linear dimension reduction
por: Abadi, Saeedeh Akbari Rokn, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_iqh9ialci28og4tshroj67rd8m