8 materials found

Authors: Boris Steipe 


Exploratory Analysis of Biological Data using R 2018

Course covered for this workshop are broadly relevant for many areas of modern, quantitative biology such as flow cytometry, expression profile analysis, function prediction and more.

Exploratory Analysis of Biological Data using R 2018 https://tess.elixir-europe.org/materials/exploratory-analysis-of-biological-data-using-r-2018 Course covered for this workshop are broadly relevant for many areas of modern, quantitative biology such as flow cytometry, expression profile analysis, function prediction and more. Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate students
Introduction to R 2018

Course introduces essential ideas and tools of R, and covers statistical tests in R.

Introduction to R 2018 https://tess.elixir-europe.org/materials/introduction-to-r-2018 Course introduces essential ideas and tools of R, and covers statistical tests in R. Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate students
Exploratory Analysis of Biological Data using R 2017 Module 5-Hypothesis Testing

Course covers essential tools and strategies that are available for EDA through the free statistical workbench R.

Exploratory Analysis of Biological Data using R 2017 Module 5-Hypothesis Testing https://tess.elixir-europe.org/materials/exploratory-analysis-of-biological-data-using-r-2017-module-5-hypothesis-testing Course covers essential tools and strategies that are available for EDA through the free statistical workbench R. Researchers Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists Graduate Students
Exploratory Analysis of Biological Data using R 2017 Module 4-Clustering

Course covers essential tools and strategies that are available for EDA through the free statistical workbench R.

Exploratory Analysis of Biological Data using R 2017 Module 4-Clustering https://tess.elixir-europe.org/materials/exploratory-analysis-of-biological-data-using-r-2017-module-4-clustering Course covers essential tools and strategies that are available for EDA through the free statistical workbench R. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Exploratory Analysis of Biological Data using R 2017 Module 3-Dimension Reduction

Course covers essential tools and strategies that are available for EDA through the free statistical workbench R.

Exploratory Analysis of Biological Data using R 2017 Module 3-Dimension Reduction https://tess.elixir-europe.org/materials/exploratory-analysis-of-biological-data-using-r-2017-module-3-dimension-reduction Course covers essential tools and strategies that are available for EDA through the free statistical workbench R. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Exploratory Analysis of Biological Data using R 2017 Module 2-Regression

Course covers essential tools and strategies that are available for EDA through the free statistical workbench R.

Exploratory Analysis of Biological Data using R 2017 Module 2-Regression https://tess.elixir-europe.org/materials/exploratory-analysis-of-biological-data-using-r-2017-module-2-regression Course covers essential tools and strategies that are available for EDA through the free statistical workbench R. Researchers Graduate Students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Exploratory Analysis of Biological Data using R 2017 Module 1-Exploratory Data Analysis

Course covers essential tools and strategies that are available for EDA through the free statistical workbench R.

Exploratory Analysis of Biological Data using R 2017 Module 1-Exploratory Data Analysis https://tess.elixir-europe.org/materials/exploratory-analysis-of-biological-data-using-r-2017-module-1-exploratory-data-analysis Course covers essential tools and strategies that are available for EDA through the free statistical workbench R. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Introduction to R 2017

Course covers the bioinformatics tools available for meeting the challenges of data handling and breaking down problems into structured parts using R.

Introduction to R 2017 https://tess.elixir-europe.org/materials/introduction-to-r-2017 Course covers the bioinformatics tools available for meeting the challenges of data handling and breaking down problems into structured parts using R. Researchers Graduate Students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows