article Open AccessTop 10% cited
A flexible R package for nonnegative matrix factorization
BMC Bioinformatics · 2010 · Vol. 11(1) · pp. 367–367
Renaud Gaujoux(University of Cape Town)Cathal Seoighe✉(Ollscoil na Gaillimhe – University of Galway)
Abstract
The NMF package helps realize the potential of Nonnegative Matrix Factorization, especially in bioinformatics, providing easy access to methods that have already yielded new insights in many applications. Documentation, source code and sample data are available from CRAN.
Gene expression and cancer classificationGenomics and Chromatin DynamicsFace and Expression RecognitionNon-negative matrix factorizationComputer scienceInitializationSource codeBioconductorBenchmark (surveying)Software portabilityData miningMatrix decompositionCluster analysis
MeSH terms
AlgorithmsHumansSoftwareLeukemia, Myeloid, AcuteComputational BiologyOligonucleotide Array Sequence AnalysisPrecursor Cell Lymphoblastic Leukemia-Lymphoma
Funding
- Science Foundation Ireland
Citations
1,594
FWCI
4.46
field-weighted impact
References
35
Percentile
95%
vs. same field & year
Citations per year
Cited by
Integrated Genomic Characterization of Pancreatic Ductal Adenocarcinoma
Cancer Cell · 2017 · 2,015 citations
The microbiome of uncontacted Amerindians
Science Advances · 2015 · 842 citations
Comprehensive Genomic Analysis Identifies Novel Subtypes and Targets of Triple-Negative Breast Cancer
Clinical Cancer Research · 2014 · 1,356 citations
Inference and analysis of cell-cell communication using CellChat
Nature Communications · 2021 · 7,777 citations
Molecular subgroups of medulloblastoma: an international meta-analysis of transcriptome, genetic aberrations, and clinical data of WNT, SHH, Group 3, and Group 4 medulloblastomas
Acta Neuropathologica · 2012 · 1,055 citations
Intertumoral Heterogeneity within Medulloblastoma Subgroups
Cancer Cell · 2017 · 1,230 citations
Maftools: efficient and comprehensive analysis of somatic variants in cancer
Genome Research · 2018 · 5,307 citations
References
Consensus Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene Expression Microarray Data
Machine Learning · 2003 · 2,138 citations
Learning the parts of objects by non-negative matrix factorization
Nature · 1999 · 13,873 citations
Advances in neural information processing systems 7
Neurocomputing · 1997 · 22,296 citations
SVD based initialization: A head start for nonnegative matrix factorization
Pattern Recognition · 2007 · 697 citations
Bioconductor: open software development for computational biology and bioinformatics
Genome biology · 2004 · 12,477 citations
Citation Network
How this paper connects to the literature. Drag to explore, click any node to open that paper.