Cargando…

Clustering of fMRI data: the elusive optimal number of clusters

Model-free methods are widely used for the processing of brain fMRI data collected under natural stimulations, sleep, or rest. Among them is the popular fuzzy c-mean algorithm, commonly combined with cluster validity (CV) indices to identify the ‘true’ number of clusters (components), in an unsuperv...

Descripción completa

Detalles Bibliográficos
Autor principal:	Seghier, Mohamed L.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	PeerJ Inc. 2018
Materias:	Bioinformatics
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6173948/ https://www.ncbi.nlm.nih.gov/pubmed/30310731 http://dx.doi.org/10.7717/peerj.5416

Ejemplares similares

Educational fMRI: From the Lab to the Classroom
por: Seghier, Mohamed L., et al.
Publicado: (2019)

Taxonomy Informed Clustering, an Optimized Method for Purer and More Informative Clusters in Diversity Analysis and Microbiome Profiling
por: Kioukis, Antonios, et al.
Publicado: (2022)

Using network clustering to predict copy number variations associated with health disparities
por: Jiang, Yi, et al.
Publicado: (2015)

ClusterEnG: an interactive educational web resource for clustering and visualizing high-dimensional data
por: Manjunath, Mohith, et al.
Publicado: (2018)

An Efficient GUI-Based Clustering Software for Simulation and Bayesian Cluster Analysis of Single-Molecule Localization Microscopy Data
por: Kutz, Saskia, et al.
Publicado: (2021)

On parsimony and clustering
por: Oggier, Frédérique, et al.
Publicado: (2023)

Normalized Cut Group Clustering of Resting-State fMRI Data
por: van den Heuvel, Martijn, et al.
Publicado: (2008)

IterCluster: a barcode clustering algorithm for long fragment read analysis
por: Weng, Jiancong, et al.
Publicado: (2020)

Visualising inter-subject variability in fMRI using threshold-weighted overlap maps
por: Seghier, Mohamed L., et al.
Publicado: (2016)

Regional and hemispheric determinants of language laterality: Implications for preoperative fMRI
por: Seghier, Mohamed L., et al.
Publicado: (2010)

Select and Cluster: A Method for Finding Functional Networks of Clustered Voxels in fMRI
por: DonGiovanni, Danilo, et al.
Publicado: (2016)

OutbreakFinder: a visualization tool for rapid detection of bacterial strain clusters based on optimized multidimensional scaling
por: Tsai, Ming-Hsin, et al.
Publicado: (2019)

Which fMRI clustering gives good brain parcellations?
por: Thirion, Bertrand, et al.
Publicado: (2014)

An integrated cluster‐wise significance measure for fMRI analysis
por: Ge, Yunjiang, et al.
Publicado: (2022)

A clustering method for small scRNA-seq data based on subspace and weighted distance
por: Ning, Zilan, et al.
Publicado: (2023)

Genomic signal processing for DNA sequence clustering
por: Mendizabal-Ruiz, Gerardo, et al.
Publicado: (2018)

On the use of sequence-quality information in OTU clustering
por: Müller, Robert, et al.
Publicado: (2021)

Functional parcellation of the hippocampus by semi-supervised clustering of resting state fMRI data
por: Cheng, Hewei, et al.
Publicado: (2020)

BGDMdocker: a Docker workflow for data mining and visualization of bacterial pan-genomes and biosynthetic gene clusters
por: Cheng, Gong, et al.
Publicado: (2017)

Large-scale DCMs for resting-state fMRI
por: Razi, Adeel, et al.
Publicado: (2017)

A hybrid deep clustering approach for robust cell type profiling using single-cell RNA-seq data
por: Srinivasan, Suhas, et al.
Publicado: (2020)

NoFold: RNA structure clustering without folding or alignment
por: Middleton, Sarah A., et al.
Publicado: (2014)

Ananke: temporal clustering reveals ecological dynamics of microbial communities
por: Hall, Michael W., et al.
Publicado: (2017)

Analysis of Whole-Brain Resting-State fMRI Data Using Hierarchical Clustering Approach
por: Wang, Yanlu, et al.
Publicado: (2013)

Diverse modes of evolutionary emergence and flux of conserved microRNA clusters
por: Mohammed, Jaaved, et al.
Publicado: (2014)

Probabilistically sampled and spectrally clustered plant species using phenotypic characteristics
por: Shastri, Aditya A., et al.
Publicado: (2021)

Potential Arabidopsis thaliana glucosinolate genes identified from the co-expression modules using graph clustering approach
por: Harun, Sarahani, et al.
Publicado: (2021)

Identifying Abnormal Connectivity in Patients Using Dynamic Causal Modeling of fMRI Responses
por: Seghier, Mohamed L., et al.
Publicado: (2010)

A complete, multi-level conformational clustering of antibody complementarity-determining regions
por: Nikoloudis, Dimitris, et al.
Publicado: (2014)

Deconvolute individual genomes from metagenome sequences through short read clustering
por: Li, Kexue, et al.
Publicado: (2020)

Two novel outlier detection approaches based on unsupervised possibilistic and fuzzy clustering
por: Cebeci, Zeynel, et al.
Publicado: (2022)

Spatiotemporal Clustering of Repeated Super-Resolution Localizations via Linear Assignment Problem
por: Schodt, David J., et al.
Publicado: (2021)

Complet+: a computationally scalable method to improve completeness of large-scale protein sequence clustering
por: Nguyen, Rachel, et al.
Publicado: (2023)

A method of water resources accounting based on deep clustering and attention mechanism under the background of integration of public health data and environmental economy
por: Zhou, Shiya
Publicado: (2023)

Clustering-Constrained ICA for Ballistocardiogram Artifacts Removal in Simultaneous EEG-fMRI
por: Wang, Kai, et al.
Publicado: (2018)

Analysis of Alzheimer’s Disease Based on the Random Neural Network Cluster in fMRI
por: Bi, Xia-an, et al.
Publicado: (2018)

Mapping Informative Clusters in a Hierarchial Framework of fMRI Multivariate Analysis
por: Xu, Rui, et al.
Publicado: (2010)

Hippocampus Parcellation via Discriminative Embedded Clustering of fMRI Functional Connectivity
por: Peng, Limin, et al.
Publicado: (2023)

Corrigendum: Spatiotemporal Clustering of Repeated Super-Resolution Localizations via Linear Assignment Problem
por: Schodt, David J., et al.
Publicado: (2022)

PASS: Protein Annotation Surveillance Site for Protein Annotation Using Homologous Clusters, NLP, and Sequence Similarity Networks
por: Tao, Jin, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_t7id9tn6sp47nu3nj2bpb6seie