skip to content

SR250 - Advanced Microarray Analysis Using R/Bioconductor


    In this hands-on course we will use the popular statistical programming environment R along with packages from Bioconductor for doing advanced statistical analysis of microarray data. We will start with methods for data import from various sources go on to data pre-processing methods and finish with statistical analysis. Throughout the class we will be introducing useful packages from Bioconductor for doing various kinds of processing and analysis.

    This course is intended for researchers familiar with the R programming environment who would like to learn more about the Bioconductor suite of packages. Those interested in a broad overview of microarray analysis methods without extensive programming may consider the course Microarray Analysis Using Open Source Tool.


    Topics to be covered include:
  • Advanced data import methods: Tab-delimited and comma separated value files; Importing data from Gene Expression Omnibus (GEO) and other databases.
  • Data processing and filtering: Log transformations and normalization methods; Remove missing values, outliers or other values.
  • Advanced microarray analyses: Differential expression with multifactor analysis of variance (ANOVA); Class prediction with machine learning techniques.

Reasonable Accommodations/Interpreting Services

For deaf or hard-of-hearing individuals requiring interpreting services, please enter your request online in the Interpreting Services System at least five (5) days before the start of the class. If you have any questions regarding this service you may contact the ORS/DATS Interpreting Team at (301-4020-8180). Individuals who need other reasonable accommodations to participate in any of the CIT Training courses should let CIT Training know at least 5 days prior to the class.

Sections Available:

DateTimeLocationRegister for this Offering
Feb 27, 2013 Wednesday 9:00 am - 1:00 pmBuilding 12A - Room B51Register for Offering

Back to Top