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

Elements of statistics 5: experimental designhttps://bioconductor.org/help/course-materials/2014/CSAMA2014/5_Friday/lectures/ExpDesign_Anders.pdfhttps://tess.elixir-europe.org/materials/elements-of-statistics-5-experimental-designBioconductor 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.Simon AndersStatistics and probability

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

Elements of statistics 4: regularisation & kernelshttps://bioconductor.org/help/course-materials/2014/CSAMA2014/4_Thursday/lectures/140626-brixen-machinelearn-huber.pdfhttps://tess.elixir-europe.org/materials/elements-of-statistics-4-regularisation-kernelsBioconductor 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.Wolfgang HuberStatistics and probability

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

Elements of statistics 3: Classification and clustering - basic conceptshttps://bioconductor.org/help/course-materials/2014/CSAMA2014/4_Thursday/lectures/thursClust.htmlhttps://tess.elixir-europe.org/materials/elements-of-statistics-3-classification-and-clustering-basic-conceptsBioconductor 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.UnknownStatistics and probability

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

Elements of statistics 1: t-test and linear modelhttps://bioconductor.org/help/course-materials/2014/CSAMA2014/1_Monday/lectures/140623-gentleman-statistics-intro.pdfhttps://tess.elixir-europe.org/materials/elements-of-statistics-1-t-test-and-linear-modelBioconductor 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.Robert GentlemanStatistics and probability

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

Lecture: Clustering and classificationhttps://bioconductor.org/help/course-materials/2015/CSAMA2015/lect/L04-clusclass-carey.htmlhttps://tess.elixir-europe.org/materials/lecture-clustering-and-classificationBioconductor 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.Vincent CareyStatistics and probability

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

Lecture: Hypothesis testing and multiple testinghttps://bioconductor.org/help/course-materials/2015/CSAMA2015/lect/L03-testing-huber.pdfhttps://tess.elixir-europe.org/materials/lecture-hypothesis-testing-and-multiple-testingBioconductor 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.Wolfgang HuberStatistics and probability

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 Bayesian Inference using Stan with Applications to Cancer Genomicshttps://bioconductor.org/help/course-materials/2016/BioC2016/ConcurrentWorkshops4/Buros/applied-survival-model.htmlhttps://tess.elixir-europe.org/materials/introduction-to-bayesian-inference-using-stan-with-applications-to-cancer-genomicsBioconductor 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.Jacqueline BurosStatistics and probability

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

Independent Hypothesis Weightinghttps://bioconductor.org/help/course-materials/2016/CSAMA/lab-6-hypothesis-weighting/introduction_to_ihw.Rmdhttps://tess.elixir-europe.org/materials/independent-hypothesis-weightingBioconductor 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.Wolfgang HuberStatistics and probability

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-analysishttps://bioconductor.org/help/course-materials/2016/CSAMA/lect-18-meta-analysis/Waldron_metaanalysis.pdfhttps://tess.elixir-europe.org/materials/meta-analysisBioconductor 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 WaldronStatistics and probability

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 methodshttps://bioconductor.org/help/course-materials/2016/CSAMA/lect-12-resampling/Waldron_CSAMA2016_resampling.pdfhttps://tess.elixir-europe.org/materials/resampling-methodsBioconductor 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 WaldronStatistics and probability

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

Robust statisticshttps://bioconductor.org/help/course-materials/2016/CSAMA/lect-11-robust/robust.pdfhttps://tess.elixir-europe.org/materials/robust-statisticsBioconductor 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.Michael LoveStatistics and probability

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 modelshttps://bioconductor.org/help/course-materials/2016/CSAMA/lect-04-linear-models/Waldron_linearmodels.pdfhttps://tess.elixir-europe.org/materials/introduction-to-linear-modelsBioconductor 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 WaldronStatistics and probability

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

Multiple testinghttps://bioconductor.org/help/course-materials/2016/CSAMA/lect-02+13-testing/160711-brixen-testing-huber.pdfhttps://tess.elixir-europe.org/materials/hypothesis-testing-27ffb208-e582-48db-a8c0-ad22a87a1329Bioconductor 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.Wolfgang HuberStatistics and probability

Probabilistic models describe how the observed data was generated, and what structure the signal and noise from potentially multiple sources may have. Many classical statistical models are special cases of probabilistic models with special modeling assumptions. Probabilistic models can be...

Scientific topics: Statistics and probability

Probabilistic programming with (R)Stanhttps://www.bits.vib.be/training-list/112-bits/training/upcoming-trainings/358-probabilistic-programming-with-r-stanhttps://tess.elixir-europe.org/materials/probabilistic-programming-with-r-stanProbabilistic models describe how the observed data was generated, and what structure the signal and noise from potentially multiple sources may have. Many classical statistical models are special cases of probabilistic models with special modeling assumptions. Probabilistic models can be implemented, improved, and critizised in a flexible, explicit and transparent manner, and the analysis can be supported with prior information about the data.
This 1-day course provides an introduction to Bayesian/probabilistic models. We will implement standard linear models based on the rstanarm package of the R statistical programming environment and readily available example data sets. The workshop is an ideal opportunity to familiarize yourself with the basic ideas in probabilistic modeling such as prior information, likelihood, model criticism and validation, as well as some of the available tools. At the end, you should be able to implement basic probabilistic models yourself, and understand their relative advantages and pitfalls compared to their classical alternatives.Leo LahtiStatistics and probabilityLife Science ResearchersPhD studentsbeginner bioinformaticianspost-docs2016-04-22

Statistics are an important part of most modern studies and being able to effectively use a statistics package can help you to understand your results. This course provides an introduction to statistics illustrated though the use of the friendly SPSS package.

Scientific topics: Statistics and probability

Keywords: Babraham Institute

Statistical Analysis using SPSShttp://www.bioinformatics.babraham.ac.uk/training.html#spsshttps://tess.elixir-europe.org/materials/statistical-analysis-using-spssStatistics are an important part of most modern studies and being able to effectively use a statistics package can help you to understand your results. This course provides an introduction to statistics illustrated though the use of the friendly SPSS package. Anne Segonds-PichonStatistics and probabilityBabraham Institute

R is a free software environment for statistical computing and graphics. It is widely used in scientific data analysis. R is a great tool for biologists, since it provides cutting edge statistical techniques, excellent graph and figure plotting capabilities and bioinformatics tools all in one...

Scientific topics: Software engineering, Statistics and probability

Keywords: John Innes Centre, JIC

Introduction to R: A software environment for statistical computinghttp://training.scicomp.jic.ac.uk/docs/r_intro_course_book/index.htmlhttps://tess.elixir-europe.org/materials/introduction-to-r-a-software-environment-for-statistical-computingR is a free software environment for statistical computing and graphics. It is widely used in scientific data analysis. R is a great tool for biologists, since it provides cutting edge statistical techniques, excellent graph and figure plotting capabilities and bioinformatics tools all in one package.The John Innes CentreSoftware engineeringStatistics and probabilityJohn Innes Centre, JICAny students, postdocs or RAs who have an interest in bioinformatics and who intend to carry out statistical analysis of their experimental data using R. This two day course is planned to be a very gentle introduction to the very basic concepts of R.

The aim of this course is to teach you how to perform basic statistical analysis using R. First we review the foundations (sampling theory, discrete and continuous distributions), then we focus on classical hypothesis testing. This course will improve your generic statistics knowledge....

Scientific topics: Statistics and probability

Keywords: Biostatistics, R

Statistics with Rhttps://www.mygoblet.org/training-portal/materials/statistics-rhttps://tess.elixir-europe.org/materials/statistics-with-rThe aim of this course is to teach you how to perform basic statistical analysis using R. First we review the foundations (sampling theory, discrete and continuous distributions), then we focus on classical hypothesis testing. This course will improve your generic statistics knowledge.
Topics:
Sampling theory: obtaining information about a population via sampling.
Sample characteristics (location, dispersion, skewness), estimation of the mean, standard error of the mean.
Discrete and continuous probability distributions. Central limit theorem.
Hypothesis testing. Basic principles, one- and two-sided testing, types of errors, power calculations.
"Cookbook of tests": location testing, normality, variance comparisons,
counting statistics, contingency tables, regression tests.András AszódiStatistics and probabilityBiostatistics, R2016-04-212017-10-09