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 281 to 300 of 307.
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  1. 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)
  2. 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)
  3. Parker, Brian J.; Günter, Simon; Bedo, Justin: Stratification bias in low signal microarray studies (2007) ioport
  4. Redestig, Henning; Weicht, Daniel; Selbig, Joachim; Hannah, Matthew A.: Transcription factor target prediction using multiple short expression time series from arabidopsis thaliana (2007) ioport
  5. Robinson, Mark D.; Speed, Terence P.: A comparison of affymetrix gene expression arrays (2007) ioport
  6. Sánchez, Alex; Salicrú, Miquel; Ocaña, Jordi: Statistical methods for the analysis of high-throughput data based on functional profiles derived from the Gene Ontology (2007)
  7. Sjögren, Anders; Kristiansson, Erik; Rudemo, Mats; Nerman, Olle: Weighted analysis of general microarray experiments (2007) ioport
  8. Toedling, Joern; Sklyar, Oleg; Huber, Wolfgang: Ringo - an R/Bioconductor package for analyzing chip-chip readouts (2007) ioport
  9. Wu, Baolin: Cancer outlier differential gene expression detection (2007)
  10. Dunning, Mark J.; Thorne, Natalie P.; Camilier, Isabelle; Smith, Michael L.; Tavaré, Simon: Quality control and low-level statistical analysis of Illumina BeadArrays (2006)
  11. Jones, Lesley; Goldstein, Darlene R.; Hughes, Gareth P.; Strand, Andrew; Collin, Francois; Dunnett, Stephen B.; Kooperberg, Charles L.; Aragaki, Aaron; Olson, James M.; Augood, Sarah J.; Faull, Richard Lm; Luthi-Carter, Ruth; Moskvina, Valentina; Hodges, Angela K.: Assessment of the relationship between pre-chip and post-chip quality measures for affymetrix genechip expression data (2006) ioport
  12. Landgrebe, Jobst; Bretz, Frank; Brunner, Edgar: Efficient design and analysis of two colour factorial microarray experiments (2006)
  13. Li, Sujun; Liu, Boshu; Zeng, Rong; Cai, Yudong; Li, Yixue: Predicting (O)-glycosylation sites in mammalian proteins by using SVMs (2006)
  14. Marzolf, Bruz; Deutsch, Eric W.; Moss, Patrick; Campbell, David; Johnson, Michael H.; Galitski, Timothy: SBEAMS-microarray: Database software supporting genomic expression analyses for systems biology (2006) ioport
  15. McGee, Monnie; Chen, Zhongxue: Parameter estimation for the exponential-normal convolution model for background correction of Affymetrix genechip data (2006)
  16. Okoniewski, Michal J.; Miller, Crispin J.: Hybridization interactions between probesets in short oligo microarrays lead to spurious correlations (2006) ioport
  17. Scheid, Stefanie; Spang, Rainer: Permutation filtering: a novel concept for significance analysis of large-scale genomic data (2006)
  18. Schimek, Michael G.; Pavlík, Tomáš: Estimation procedures for the false discovery rate: a systematic comparison for microarray data (2006)
  19. Song, Peter X.-K.; Gao, Xin; Liu, Rui; Le, Wen: Nonparametric inference for local extrema with application to oligonucleotide microarray data in yeast genome (2006)
  20. Gentleman, Robert (ed.); Carey, Vincent J. (ed.); Huber, Wolfgang (ed.); Irizarry, Rafael A. (ed.); Dudoit, Sandrine (ed.): Bioinformatics and computational biology solutions using R and Bioconductor. (2005)

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