Cargando…

Single-Cell Transcriptome Data Clustering via Multinomial Modeling and Adaptive Fuzzy K-Means Algorithm

Single-cell RNA sequencing technologies have enabled us to study tissue heterogeneity at cellular resolution. Fast-developing sequencing platforms like droplet-based sequencing make it feasible to parallel process thousands of single cells effectively. Although a unique molecular identifier (UMI) ca...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Liang, Wang, Weinan, Zhai, Yuyao, Deng, Minghua
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2020
Materias:	Genetics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180207/ https://www.ncbi.nlm.nih.gov/pubmed/32362908 http://dx.doi.org/10.3389/fgene.2020.00295

Ejemplares similares

Deep soft K-means clustering with self-training for single-cell RNA sequence data
por: Chen, Liang, et al.
Publicado: (2020)

Research on Mental Stress Recognition of Depressive Disorders in Patients With Androgenic Alopecia Based on Machine Learning and Fuzzy K-Means Clustering
por: Li, Yulong, et al.
Publicado: (2021)

Integrating Deep Supervised, Self-Supervised and Unsupervised Learning for Single-Cell RNA-seq Clustering and Annotation
por: Chen, Liang, et al.
Publicado: (2020)

The Comparison of Clustering Algorithms K-Means and Fuzzy C-Means for Segmentation Retinal Blood Vessels
por: Wiharto, Wiharto, et al.
Publicado: (2020)

D3K: The Dissimilarity-Density-Dynamic Radius K-means Clustering Algorithm for scRNA-Seq Data
por: Liu, Guoyun, et al.
Publicado: (2022)

Hybrid Clustering of Single-Cell Gene Expression and Spatial Information via Integrated NMF and K-Means
por: Oh, Sooyoun, et al.
Publicado: (2021)

Algorithms for fuzzy clustering: methods in c-means clustering with applications
por: Miyamoto, Sadaaki, et al.
Publicado: (2008)

A Self-Adaptive Fuzzy c-Means Algorithm for Determining the Optimal Number of Clusters
por: Ren, Min, et al.
Publicado: (2016)

Selection and Optimization of Regional Economic Industrial Structure Based on Fuzzy k-Means Clustering Algorithm
por: Yuan, Honglin, et al.
Publicado: (2022)

Clustering models for hospitals in Jakarta using fuzzy c-means and k-means
por: Setiawan, Karli Eka, et al.
Publicado: (2023)

Retracted: Selection and Optimization of Regional Economic Industrial Structure Based on Fuzzy k-Means Clustering Algorithm
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

LFSC: A linear fast semi-supervised clustering algorithm that integrates reference-bulk and single-cell transcriptomes
por: Liu, Qiaoming, et al.
Publicado: (2022)

An Improved Fuzzy c-Means Clustering Algorithm Based on Shadowed Sets and PSO
por: Zhang, Jian, et al.
Publicado: (2014)

Accelerating Families of Fuzzy K-Means Algorithms for Vector Quantization Codebook Design
por: Mata, Edson, et al.
Publicado: (2016)

Comparison of K-Means and Fuzzy c-Means Algorithm Performance for Automated Determination of the Arterial Input Function
por: Yin, Jiandong, et al.
Publicado: (2014)

An investigation into epidemiological situations of COVID-19 with fuzzy K-means and K-prototype clustering methods
por: Pasin, Ozge, et al.
Publicado: (2023)

Unsupervised Cryo-EM Data Clustering through Adaptively Constrained K-Means Algorithm
por: Xu, Yaofang, et al.
Publicado: (2016)

An Efficient Brain Tumor Segmentation Method Based on Adaptive Moving Self-Organizing Map and Fuzzy K-Mean Clustering
por: Dalal, Surjeet, et al.
Publicado: (2023)

Differential privacy fuzzy C-means clustering algorithm based on gaussian kernel function
por: Zhang, Yaling, et al.
Publicado: (2021)

Performance evaluation of spatial fuzzy C-means clustering algorithm on GPU for image segmentation
por: Ali, Noureddine Ait, et al.
Publicado: (2022)

Adaptive Initialization Method for K-Means Algorithm
por: Yang, Jie, et al.
Publicado: (2021)

Exploring the conditional coregulation of yeast gene expression through fuzzy k-means clustering
por: Gasch, Audrey P, et al.
Publicado: (2002)

Finding reproducible cluster partitions for the k-means algorithm
por: Lisboa, Paulo JG, et al.
Publicado: (2013)

Clustering Using Boosted Constrained k-Means Algorithm
por: Okabe, Masayuki, et al.
Publicado: (2018)

An enhanced adaptive Bi-clustering algorithm through building a shielding complex sub-matrix
por: Xu, Kaijie, 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)

An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM Algorithm
por: Chowdhary, Chiranji Lal, et al.
Publicado: (2020)

Clustering CITE-seq data with a canonical correlation-based deep learning method
por: Yuan, Musu, et al.
Publicado: (2022)

Photovoltaic Array Fault Diagnosis Based on Gaussian Kernel Fuzzy C-Means Clustering Algorithm
por: Liu, Shengyang, et al.
Publicado: (2019)

Viability of two adaptive fuzzy systems based on fuzzy c means and subtractive clustering methods for modeling Cadmium in groundwater resources
por: Jafarzade, Naghmeh, et al.
Publicado: (2023)

NML Computation Algorithms for Tree-Structured Multinomial Bayesian Networks
por: Kontkanen, Petri, et al.
Publicado: (2008)

Self-learning and adaptive algorithms for business applications: a guide to adaptive neuro-fuzzy systems for fuzzy clustering under uncertainty conditions
por: Hu, Zhengbing, et al.
Publicado: (2019)

A practical comparison of two K-Means clustering algorithms
por: Wilkin, Gregory A, et al.
Publicado: (2008)

Optimization of fuzzy c-means (FCM) clustering in cytology image segmentation using the gray wolf algorithm
por: Mohammdian-khoshnoud, Maryam, et al.
Publicado: (2022)

A Geometric Approach to Average Problems on Multinomial and Negative Multinomial Models
por: Li, Mingming, et al.
Publicado: (2020)

Analysis of genomic signatures in prokaryotes using multinomial regression and hierarchical clustering
por: Bohlin, Jon, et al.
Publicado: (2009)

Clustering microbiome data using mixtures of logistic normal multinomial models
por: Fang, Yuan, et al.
Publicado: (2023)

Sleeping posture recognition using fuzzy c-means algorithm
por: Hsiao, Rong-Shue, et al.
Publicado: (2018)

A Hybrid Method for Image Segmentation Based on Artificial Fish Swarm Algorithm and Fuzzy c-Means Clustering
por: Ma, Li, et al.
Publicado: (2015)

Clustering performance comparison using K-means and expectation maximization algorithms
por: Jung, Yong Gyu, et al.
Publicado: (2014)

Cannot write session to /tmp/vufind_sessions/sess_rfp6d23boqjdteg74cdj557bsa