• CSCBiostatService

OICR Cancer Stem Cell Program - Biostatistics Service

The Biostatistics Service is freely available to all Cancer Stem Cell program members.

Experimental Design

• We provide help with design issues of genomics experiments (e.g. gene expression microarrays, RNA-Seq), such as how to structure your samples to avoid confounding factors that will make your analysis more difficult and reduce power of your analyses. To help you with statistical planning of your experiment, we need clear and concise information about your plans. A document related to the type of information that we need to understand your experiment is provided in CONSULTING.

Statistical Analysis

• We provide statistical analysis, e.g., normalization, batch correction, or model fitting. The statistical analysis is available for any problem related to the cancer stem cell network:
  • Statistical analysis of different experiment data (or other omics data):

    1. Affymetrix microarray data analysis

    2. Illumina’s BeadChip microarray data analysis

    3. RNA-seq data analysis

    4. Flow cytometry data analysis

    5. Survival analysis

  • Multiple testing adjustments and calculation of false discovery rates.
  • Meta-analysis of multiple studies
  • Other problems as needed

Consulting and Training

• If you are doing the analyses yourself but you need advice, please feel free to contact us for a consulting meeting at any stage of your analysis.

Expectations and Data Requirements

• If you have data from genomics (e.g. gene expression) experiment, we need certain information to understand and do efficient analysis of your data which are documented in DATA REQUIREMENTS.

• For information regarding what you should expect from the service, please read EXPECTATIONS.

Data Interpretation

• Once data from your genomics experiment have been statistically analyzed, the end result is a list of genes that can contain only a few genes or more frequently hundreds or thousands. These genes are likely to be related to the condition or physiological perturbation that you are studying. The next step is to functionally interpret these data by integrating prior knowledge about these genes in an automatic manner or by integrating as a network several layers of information or data that you can have. We have developed a pathway and network analysis service (http://www.baderlab.org/CSCPathwayAnalysisService) which goal is to help with data interpretation. Please, do not hesitate to contact Dr. Veronique Voisin (veronique.voisin@gmail.com) for more information about this service or visit the website.

Contact Dr. Changjiang Xu (Biostatistician) changjiang.xu@utoronto.ca