Bioconductor

Bioconductor provides tools for the analysis and comprehension of high-throughput genomic data. Bioconductor uses the R statistical programming language, and is open source and open development. It has two releases each year, 554 software packages, and an active user community. Bioconductor is also available as an Amazon Machine Image (AMI).


References in zbMATH (referenced in 307 articles , 2 standard articles )

Showing results 261 to 280 of 307.
Sorted by year (citations)

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  1. Michael Lawrence; Dianne Cook; Eun-Kyung Lee; Heather Babka; Eve Wurtele: explorase: Multivariate Exploratory Analysis and Visualization for Systems Biology (2008) not zbMATH
  2. Sarkar, Deepayan: Lattice. Multivariate data visualization with R (2008)
  3. Sarkar, Deepayan: Extending lattice: using generics and methods to implement new visualization methods within the Trellis framework (2008)
  4. Wang, Sun-Chong; Petronis, Arturas: DNA methylation microarrays. Experimental design and statistical analysis. With CD-ROM (2008)
  5. Zintzaras, Elias; Ioannidis, John P. A.: Meta-analysis for ranked discovery datasets: theoretical framework and empirical demonstration for microarrays (2008)
  6. Archer, Kellie J.; Dumur, Catherine I.; Taylor, G. Scott; Chaplin, Michael D.; Guiseppi-Elie, Anthony; Grant, Geraldine; Ferreira-Gonzalez, Andrea; Garrett, Carleton T.: Application of a correlation correction factor in a microarray cross-platform reproducibility study (2007) ioport
  7. Bembom, Oliver; Keles, Sunduz; Van der Laan, Mark J.: Supervised detection of conserved motifs in DNA sequences with cosmo (2007)
  8. Bühlmann, Peter; Hothorn, Torsten: Boosting algorithms: regularization, prediction and model fitting (2007)
  9. Bühlmann, Peter; Hothorn, Torsten: Rejoinder: Boosting algorithms: regularization, prediction and model fitting (2007)
  10. Carey, Vincent J.; Morgan, Martin; Falcon, Seth; Lazarus, Ross; Gentleman, Robert: Ggtools: Analysis of genetics of gene expression in bioconductor (2007) ioport
  11. Carvalho, Benilton; Bengtsson, Henrik; Speed, Terence P.; Irizarry, Rafael A.: Exploration, normalization, and genotype calls of high-density oligonucleotide SNP array data (2007)
  12. Chabalier, Julie; Mosser, Jean; Burgun, Anita: A transversal approach to predict gene product networks from ontology-based similarity (2007) ioport
  13. Chandra Erdman; John Emerson: bcp: An R Package for Performing a Bayesian Analysis of Change Point Problems (2007) not zbMATH
  14. Gaj, Stan; Van Erk, Arie; Van Haaften, Rachel Im; Evelo, Chris Ta: Linking microarray reporters with protein functions (2007) ioport
  15. Gidskehaug, Lars; Anderssen, Endre; Flatberg, Arnar; Alsberg, Bjørn K.: A framework for significance analysis of gene expression data using dimension reduction methods (2007) ioport
  16. Hulshizer, Randall; Blalock, Eric M.: (Post hoc )pattern matching: Assigning significance to statistically defined expression patterns in single channel microarray data (2007) ioport
  17. Jing Zhao: gap: Genetic Analysis Package (2007) not zbMATH
  18. Ligges, Uwe: Programming with R (2007)
  19. Liu, Fang; Wu, Baolin: Multi-group cancer outlier differential gene expression detection (2007)
  20. Moretti, Stefano; Patrone, Fioravante; Bonassi, Stefano: The class of microarray games and the relevance index for genes (2007)

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