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 282 articles , 2 standard articles )

Showing results 241 to 260 of 282.
Sorted by year (citations)

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  1. Zintzaras, Elias; Ioannidis, John P. A.: Meta-analysis for ranked discovery datasets: theoretical framework and empirical demonstration for microarrays (2008)
  2. 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
  3. Bembom, Oliver; Keles, Sunduz; Van der Laan, Mark J.: Supervised detection of conserved motifs in DNA sequences with cosmo (2007)
  4. Bühlmann, Peter; Hothorn, Torsten: Boosting algorithms: regularization, prediction and model fitting (2007)
  5. Bühlmann, Peter; Hothorn, Torsten: Rejoinder: Boosting algorithms: regularization, prediction and model fitting (2007)
  6. Carey, Vincent J.; Morgan, Martin; Falcon, Seth; Lazarus, Ross; Gentleman, Robert: Ggtools: Analysis of genetics of gene expression in bioconductor (2007) ioport
  7. Carvalho, Benilton; Bengtsson, Henrik; Speed, Terence P.; Irizarry, Rafael A.: Exploration, normalization, and genotype calls of high-density oligonucleotide SNP array data (2007)
  8. Chabalier, Julie; Mosser, Jean; Burgun, Anita: A transversal approach to predict gene product networks from ontology-based similarity (2007) ioport
  9. Chandra Erdman; John Emerson: bcp: An R Package for Performing a Bayesian Analysis of Change Point Problems (2007) not zbMATH
  10. Gaj, Stan; Van Erk, Arie; Van Haaften, Rachel Im; Evelo, Chris Ta: Linking microarray reporters with protein functions (2007) ioport
  11. Gidskehaug, Lars; Anderssen, Endre; Flatberg, Arnar; Alsberg, Bjørn K.: A framework for significance analysis of gene expression data using dimension reduction methods (2007) ioport
  12. Hulshizer, Randall; Blalock, Eric M.: (Post hoc )pattern matching: Assigning significance to statistically defined expression patterns in single channel microarray data (2007) ioport
  13. Jing Zhao: gap: Genetic Analysis Package (2007) not zbMATH
  14. Ligges, Uwe: Programming with R (2007)
  15. Liu, Fang; Wu, Baolin: Multi-group cancer outlier differential gene expression detection (2007)
  16. Moretti, Stefano; Patrone, Fioravante; Bonassi, Stefano: The class of microarray games and the relevance index for genes (2007)
  17. Newton, Michael A.; Quintana, Fernando A.; Den Boon, Johan A.; Sengupta, Srikumar; Ahlquist, Paul: Random-set methods identify distinct aspects of the enrichment signal in gene-set analysis (2007)
  18. Nott, David J.; Yu, Zeming; Chan, Eva; Cotsapas, Chris; Cowley, Mark J.; Pulvers, Jeremy; Williams, Rohan; Little, Peter: Hierarchical Bayes variable selection and microarray experiments (2007)
  19. Parker, Brian J.; Günter, Simon; Bedo, Justin: Stratification bias in low signal microarray studies (2007) ioport
  20. Redestig, Henning; Weicht, Daniel; Selbig, Joachim; Hannah, Matthew A.: Transcription factor target prediction using multiple short expression time series from arabidopsis thaliana (2007) ioport

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