9 materials found

Scientific topics:

Machine Learning & BioStatistics Hackathon 2020

Materials created at the Machine Learning and BioStatistics hackathon organised by ELIXIR-GR (CERTH) in October and November 2020.

Scientific topics: Computer science, Statistics and probability, Machine learning

Keywords: machine learning, biostatistics, eLearning, EeLP

Resource type: Training materials

Machine Learning & BioStatistics Hackathon 2020 http://tess.elixir-uk.org/materials/machine-learning-biostatistics-hackathon-2020 Materials created at the Machine Learning and BioStatistics hackathon organised by ELIXIR-GR (CERTH) in October and November 2020. Computer science Statistics and probability Machine learning machine learning, biostatistics, eLearning, EeLP Life Science Researchers statisticians Training Designers Training instructors Trainers
Introduction to qualitative modelling with MaBoSS

Boolean modelling uses a simple representation of biological entities as either active or inactive, and describes their relations with logical formulas. MaBoSS extends Boolean modelling by adding a notion of continuous time, with the introduction of rates of (in)activation. This enable the...

Scientific topics: Statistics and probability, Molecular interactions, pathways and networks, Personalised medicine, Simulation experiment

Operations: Modelling and simulation

Keywords: HPC, Biomodelling, cell simulations, Boolean

Resource type: Webinar

Introduction to qualitative modelling with MaBoSS http://tess.elixir-uk.org/materials/introduction-to-qualitative-modelling-with-maboss Boolean modelling uses a simple representation of biological entities as either active or inactive, and describes their relations with logical formulas. MaBoSS extends Boolean modelling by adding a notion of continuous time, with the introduction of rates of (in)activation. This enable the representation of physical time, and of processes with different time scales. MaBoSS simulate multiple stochastic trajectories, and produces trajectories of the probabilities of the system state. This webinar will introduce the concepts of boolean modelling, and MaBoSS’ continuous time boolean modelling, and will then demonstrate the use of WebMaBoSS, a web interface designed for easily simulating MaBoSS models. Statistics and probability Molecular interactions, pathways and networks Personalised medicine Simulation experiment HPC, Biomodelling, cell simulations, Boolean Anyone interested in simulation of metabolic models, and in PerMedCoE tools and activities
Bioinformatics Summer School 2019

This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are...

Scientific topics: Statistics and probability, Omics, RNA-Seq, Proteomics

Operations: Data handling

Bioinformatics Summer School 2019 http://tess.elixir-uk.org/materials/bioinformatics-summer-school-2019 This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are familiar with omics experimental technologies and their applications in biology, have had some exposure with R, and who want to learn or expand their bioinformatics skills. Martin Morgan Laurent Gatto Janick Mathys Lieven Clement Charlotte Soneson Koen Van den Berge Oliver Crook Statistics and probability Omics RNA-Seq Proteomics PhD students
Multiple testing

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 testing http://tess.elixir-uk.org/materials/hypothesis-testing-27ffb208-e582-48db-a8c0-ad22a87a1329 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. Statistics and probability
Probabilistic programming with (R)Stan

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)Stan http://tess.elixir-uk.org/materials/probabilistic-programming-with-r-stan 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 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. Statistics and probability Life Science Researchers PhD students beginner bioinformaticians post-docs 2016-04-22
Statistical Analysis using SPSS

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 SPSS http://tess.elixir-uk.org/materials/statistical-analysis-using-spss 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. Statistics and probability Babraham Institute
Introduction to R: A software environment for statistical computing

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 computing http://tess.elixir-uk.org/materials/introduction-to-r-a-software-environment-for-statistical-computing 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 package. Software engineering Statistics and probability John Innes Centre, JIC Any 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.
Statistics with 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 R http://tess.elixir-uk.org/materials/statistics-with-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. 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. Statistics and probability Biostatistics, R 2016-04-21 2017-10-09
Prerequisite

No description available

Scientific topics: Statistics and probability

Keywords: Unix, Linux, R-programming, Statistics

Prerequisite http://tess.elixir-uk.org/materials/prerequisite No description available Statistics and probability Unix, Linux, R-programming, Statistics