Cargando…

pcaReduce: hierarchical clustering of single cell transcriptional profiles

BACKGROUND: Advances in single cell genomics provide a way of routinely generating transcriptomics data at the single cell level. A frequent requirement of single cell expression analysis is the identification of novel patterns of heterogeneity across single cells that might explain complex cellular...

Descripción completa

Detalles Bibliográficos
Autores principales:	žurauskienė, Justina, Yau, Christopher
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2016
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802652/ https://www.ncbi.nlm.nih.gov/pubmed/27005807 http://dx.doi.org/10.1186/s12859-016-0984-y

Ejemplares similares

Hierarchical clustering of maximum parsimony reconciliations
por: Mawhorter, Ross, et al.
Publicado: (2019)

Large scale hierarchical clustering of protein sequences
por: Krause, Antje, et al.
Publicado: (2005)

Fast tree aggregation for consensus hierarchical clustering
por: Hulot, Audrey, et al.
Publicado: (2020)

A novel hierarchical clustering algorithm for gene sequences
por: Wei, Dan, et al.
Publicado: (2012)

Applied unsupervised learning with R: uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
por: Malik, Alok, et al.
Publicado: (2019)

Iterative pruning PCA improves resolution of highly structured populations
por: Intarapanich, Apichart, et al.
Publicado: (2009)

Genetic diversity and relationship of Hedychium from Northeast India as dissected using PCA analysis and hierarchical clustering
por: Basak, Supriyo, et al.
Publicado: (2014)

Statistical significance for hierarchical clustering in genetic association and microarray expression studies
por: Levenstien, Mark A, et al.
Publicado: (2003)

Improved OTU-picking using long-read 16S rRNA gene amplicon sequencing and generic hierarchical clustering
por: Franzén, Oscar, et al.
Publicado: (2015)

Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements
por: Cooke, Emma J, et al.
Publicado: (2011)

Enumerating the gene sets in breast cancer, a "direct" alternative to hierarchical clustering
por: Mefford, Dwain, et al.
Publicado: (2010)

MCMSeq: Bayesian hierarchical modeling of clustered and repeated measures RNA sequencing experiments
por: Vestal, Brian E., et al.
Publicado: (2020)

New bandwidth selection criterion for Kernel PCA: Approach to dimensionality reduction and classification problems
por: Thomas, Minta, et al.
Publicado: (2014)

CHICKN: extraction of peptide chromatographic elution profiles from large scale mass spectrometry data by means of Wasserstein compressive hierarchical cluster analysis
por: Permiakova, Olga, et al.
Publicado: (2021)

PCA-based bootstrap confidence interval tests for gene-disease association involving multiple SNPs
por: Peng, Qianqian, et al.
Publicado: (2010)

Prediction of new associations between ncRNAs and diseases exploiting multi-type hierarchical clustering
por: Barracchia, Emanuele Pio, et al.
Publicado: (2020)

A unified framework for the integration of multiple hierarchical clusterings or networks from multi-source data
por: Hulot, Audrey, et al.
Publicado: (2021)

Utilising the native plasmid, pCA2.4, from the cyanobacterium Synechocystis sp. strain PCC6803 as a cloning site for enhanced product production
por: Armshaw, Patricia, et al.
Publicado: (2015)

In vivo transcriptional profiling of Plasmodium falciparum
por: Daily, Johanna P, et al.
Publicado: (2004)

Subject clustering by IF-PCA and several recent methods
por: Chen, Dieyi, et al.
Publicado: (2023)

PCA2GO: a new multivariate statistics based method to identify highly expressed GO-Terms
por: Bruckskotten, Marc, et al.
Publicado: (2010)

A hierarchical approach for speech-instrumental-song classification
por: Ghosal, Arijit, et al.
Publicado: (2013)

HPTLC-PCA Complementary to HRMS-PCA in the Case Study of Arbutus unedo Antioxidant Phenolic Profiling
por: Maldini, Mariateresa, et al.
Publicado: (2019)

Hierarchical structural component model for pathway analysis of common variants
por: Jiang, Nan, et al.
Publicado: (2020)

Var transcription profiling of Plasmodium falciparum 3D7: assignment of cytoadherent phenotypes to dominant transcripts
por: Gölnitz, Uta, et al.
Publicado: (2008)

SCYN: single cell CNV profiling method using dynamic programming
por: Feng, Xikang, et al.
Publicado: (2021)

A proximity-based graph clustering method for the identification and application of transcription factor clusters
por: Spadafore, Maxwell, et al.
Publicado: (2017)

MetaCRS: unsupervised clustering of contigs with the recursive strategy of reducing metagenomic dataset’s complexity
por: Jiang, Zhongjun, et al.
Publicado: (2022)

Conditional clustering of temporal expression profiles
por: Wang, Ling, et al.
Publicado: (2008)

A hierarchical approach employing metabolic and gene expression profiles to identify the pathways that confer cytotoxicity in HepG2 cells
por: Li, Zheng, et al.
Publicado: (2007)

Reduced metagenome sequencing for strain-resolution taxonomic profiles
por: Snipen, Lars, et al.
Publicado: (2021)

A general strategy to determine the congruence between a hierarchical and a non-hierarchical classification
por: Marco, Antonio, et al.
Publicado: (2007)

Scaffold analysis of PubChem database as background for hierarchical scaffold-based visualization
por: Velkoborsky, Jakub, et al.
Publicado: (2016)

Optimizing a Bayesian hierarchical adaptive platform trial design for stroke patients
por: Gao, Guangyi, et al.
Publicado: (2022)

Quantitative profiling of housekeeping and Epstein-Barr virus gene transcription in Burkitt lymphoma cell lines using an oligonucleotide microarray
por: Bernasconi, Michele, et al.
Publicado: (2006)

Identification of therapeutic targets from genetic association studies using hierarchical component analysis
por: Lee, Hao-Chih, et al.
Publicado: (2020)

HMD-ARG: hierarchical multi-task deep learning for annotating antibiotic resistance genes
por: Li, Yu, et al.
Publicado: (2021)

Improved reduced representation bisulfite sequencing for epigenomic profiling of clinical samples
por: Lee, Yew Kok, et al.
Publicado: (2014)

PCA-based population structure inference with generic clustering algorithms
por: Lee, Chih, et al.
Publicado: (2009)

Integrating pathway knowledge with deep neural networks to reduce the dimensionality in single-cell RNA-seq data
por: Gundogdu, Pelin, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_i5p5446mbi64d9m6jahj6j1fo7