https://www.sthda.com (C) 2005-2026 PHPBoost en PHPBoost https://www.sthda.com/english/web/4-courseadvisor/44-csama-2017-statistical-data-analysis-for-genome-scale-biology/ https://www.sthda.com/english/web/4-courseadvisor/44-csama-2017-statistical-data-analysis-for-genome-scale-biology/ genomic data analyses.

Main contents include:

- Introduction to R and Bioconductor for gene expression analyses and gene annotation

- Basics of sequence alignment and aligners

- RNA-Seq data analysis and differential expression

- Multiple testing

- Experimental design, batch effects and confounding

- Robust statistics: median, MAD, rank test, Spearman, robust linear model

- Visualization, the grammar of graphics and ggplot2

- Clustering and classification

- Resampling: cross-validation, bootstrap, and permutation tests

- Analysis of microbiome marker gene data

- Gene set enrichment analysis]]> Fri, 11 Aug 2017 22:46:00 +0200 https://www.sthda.com/english/web/4-courseadvisor/27-harvardx-biomedical-data-science-open-online-training/ https://www.sthda.com/english/web/4-courseadvisor/27-harvardx-biomedical-data-science-open-online-training/ Data Analysis for the Life Sciences series, the Genomics Data Analysis series, and the Using Python for Research course.
]]> Wed, 02 Aug 2017 20:55:00 +0200 https://www.sthda.com/english/web/4-courseadvisor/9-r-course-material-by-paul-hiemstra/ https://www.sthda.com/english/web/4-courseadvisor/9-r-course-material-by-paul-hiemstra/
The course is organized as follow:


Generic working with R
Using R with RStudio
Finding functionality you need in R

Working with data
Basic data input and output in R
Basic interaction with data structures
Basic data analysis with R: linear models
Working with time in R

Writing R code
Organizing your R code
Controlling the flow of an R program

Specific R packages
Data processing using the dplyr package
Data visualisation using ggplot2
Shiny, creating web apps using R]]> Sat, 12 Sep 2015 09:20:00 +0200