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 298 articles , 2 standard articles )

Showing results 21 to 40 of 298.
Sorted by year (citations)

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  1. Li, Ang; Barber, Rina Foygel: Multiple testing with the structure-adaptive Benjamini-Hochberg algorithm (2019)
  2. Luo, Xiangyu; Wei, Yingying: Batch effects correction with unknown subtypes (2019)
  3. MacDonald, Peter W.; Liang, Kun; Janssen, Arnold: Dynamic adaptive procedures that control the false discovery rate (2019)
  4. Madsen, Tobias; Świtnicki, Michał; Juul, Malene; Skou Pedersen, Jakob: \textttEBADIMEX: an empirical Bayes approach to detect joint differential expression and methylation and to classify samples (2019)
  5. Michael Schubert: clustermq enables efficient parallelization of genomic analyses (2019) not zbMATH
  6. Schlosser, Pascal: Netboost: statistical modeling strategies for high-dimensional data (2019)
  7. Sen, Liang; Sen, Yang; Dayang, Liang; Jiechao, Ma; Yuan, Tian; Jing, Zhao; Xu, Zhang; Ying, Xu; Yan, Wang: A novel matched-pairs feature selection method considering with tumor purity for differential gene expression analyses (2019)
  8. Yuan, Chaofeng; Zhu, Wensheng; He, Xuming; Guo, Jianhua: A mixture factor model with applications to microarray data (2019)
  9. Zheng, Hong: A novel individualized drug repositioning approach for predicting personalized candidate drugs for type 1 diabetes mellitus (2019)
  10. Carmichael, Iain; Marron, J. S.: Data science vs. statistics: two cultures? (2018)
  11. Dadaneh, Siamak Zamani; Qian, Xiaoning; Zhou, Mingyuan: BNP-seq: Bayesian nonparametric differential expression analysis of sequencing count data (2018)
  12. Demidenko, Eugene: The next-generation (K)-means algorithm (2018)
  13. Esteves, Gustavo H.; Reis, Luiz F. L.: A statistical method for measuring activation of gene regulatory networks (2018)
  14. Franks, Alexander M.; Markowetz, Florian; Airoldi, Edoardo M.: Refining cellular pathway models using an ensemble of heterogeneous data sources (2018)
  15. Holmes, Susan: Statistical proof? The problem of irreproducibility (2018)
  16. Page, Christian M.; Vos, Linda; Rounge, Trine B.; Harbo, Hanne F.; Andreassen, Bettina K.: Assessing genome-wide significance for the detection of differentially methylated regions (2018)
  17. Pruim, Randall: Foundations and applications of statistics. An introduction using R (2018)
  18. Rosenthal, Jeffrey S.; Yang, Jinyoung: Ergodicity of combocontinuous adaptive MCMC algorithms (2018)
  19. Smirnova, Ekaterina; Ivanescu, Andrada; Bai, Jiawei; Crainiceanu, Ciprian M.: A practical guide to big data (2018)
  20. Song, Wei; Liu, Huaping; Wang, Jiajia; Kong, Yan; Yin, Xia; Zang, Weidong: MATHT: a web server for comprehensive transcriptome data analysis (2018)

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