Meta-analysis of genomics experiments using 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, 1560 software packages, and an...
Meta-analysis of genomics experiments using Bioconductor
https://bioconductor.orghttp://rpubs.com/lwaldron/bioc2014
https://tess.elixir-europe.org/materials/meta-analysis-of-genomics-experiments-using-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, 1560 software packages, and an active user community.
Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Levi Waldron
Meta-analysis
Trends in Genomic Data Analysis in R
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, 1560 software packages, and an...
Trends in Genomic Data Analysis in R
https://bioconductor.org2014/ISMB2014/ISMB2014_WaldronOverview.pdf
https://tess.elixir-europe.org/materials/trends-in-genomic-data-analysis-in-r
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, 1560 software packages, and an active user community.
Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Levi Waldron
R/Bioconductor
Meta-analysis
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, 1560 software packages, and an...
Scientific topics: Statistics and probability
Meta-analysis
https://bioconductor.org2016/CSAMA/lect-18-meta-analysis/Waldron_metaanalysis.pdf
https://tess.elixir-europe.org/materials/meta-analysis
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, 1560 software packages, and an active user community.
Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Levi Waldron
Statistics and probability
Resampling methods
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, 1560 software packages, and an...
Scientific topics: Statistics and probability
Resampling methods
https://bioconductor.org2016/CSAMA/lect-12-resampling/Waldron_CSAMA2016_resampling.pdf
https://tess.elixir-europe.org/materials/resampling-methods
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, 1560 software packages, and an active user community.
Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Levi Waldron
Statistics and probability
Introduction to linear models
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, 1560 software packages, and an...
Scientific topics: Statistics and probability
Introduction to linear models
https://bioconductor.org2016/CSAMA/lect-04-linear-models/Waldron_linearmodels.pdf
https://tess.elixir-europe.org/materials/introduction-to-linear-models
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, 1560 software packages, and an active user community.
Bioconductor is also available as an AMI (Amazon Machine Image) and a series of Docker images.
Levi Waldron
Statistics and probability
