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Keywords: Statistical-model  or


How to use Python and R with RDF Data

This training module will provide researchers with an introduction on how use R and Python in combination with SPARQL to query RDF data.

Scientific topics: Medical informatics, FAIR data, Data management, Computer science

Operations: Data retrieval, Data handling, Query and retrieval

Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, Python, R, GraphDB

Resource type: Video, Training materials, Mock data, E-learning

How to use Python and R with RDF Data http://tess.elixir-uk.org/materials/how-to-use-python-and-r-with-rdf-data This training module will provide researchers with an introduction on how use R and Python in combination with SPARQL to query RDF data. Sabine Österle Vasundra Touré Medical informatics FAIR data Data management Computer science Clinical data, SPARQL, Query data, RDF, Knowledge graph, Python, R, GraphDB Research Scientists Data Managers Biomedical Researchers Bioinformaticians Data Scientists
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
Working with Affymetrix CEL files in R

This tutorial shows how to download some public Affymetrix microarray data, load the data into R, calculate expression values and do some very simple plotting

Keywords: Affymetrix, Microarrays, R

Working with Affymetrix CEL files in R http://tess.elixir-uk.org/materials/working-with-affymetrix-cel-files-in-r This tutorial shows how to download some public Affymetrix microarray data, load the data into R, calculate expression values and do some very simple plotting Affymetrix, Microarrays, R Beginners PhD students Researchers 2014-01-14 2017-10-09
Simple plotting in R

This quick and simple tutorial demonstrates some of the easy plotting tools in the R core software. the data are in the "data" directory and come from an old two-colour microarray experiment where spots on the array were printed with different buffers, in different concentrations and with...

Keywords: Bioinformatics, Microarray data analysis, Plotting data, R, Visualisation

Simple plotting in R http://tess.elixir-uk.org/materials/simple-plotting-in-r This quick and simple tutorial demonstrates some of the easy plotting tools in the R core software. the data are in the "data" directory and come from an old two-colour microarray experiment where spots on the array were printed with different buffers, in different concentrations and with different pins.  Also, both channels Cy5 and Cy3 were spotted identically, and so the fold ratio for all spots should be 1 - this helps us see bias in the data Bioinformatics, Microarray data analysis, Plotting data, R, Visualisation Beginners PhD students Researchers Scientists 2014-01-14 2017-10-09
Flow Cytometry 2013 Module 2 - Exploring FCM data in R

Loading a single or groups of FCS files into R flowFrame and flowSet objects and their attributes Exploring sample annotation and keywords stored within the FCS file format, searching for specic samples (such as controls) using grep, highlighting the importance of correct sample annotation...

Keywords: Fcs files, Plotting data, R

Flow Cytometry 2013 Module 2 - Exploring FCM data in R http://tess.elixir-uk.org/materials/flow-cytometry-2013-module-2-exploring-fcm-data-in-r Loading a single or groups of FCS files into R flowFrame and flowSet objects and their attributes Exploring sample annotation and keywords stored within the FCS file format, searching for specic samples (such as controls) using grep, highlighting the importance of correct sample annotation at point of acquisition Simple dot plots and density plots Fcs files, Plotting data, R 2013-06-26 2017-10-09