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| * We also provide statistical analysis support for your lab experiments, for example, linear model fitting under different designs or sample size calculation. | * We also provide statistical analysis support, for example, normalization, batch correction, or model fitting * Affymetrix microarray data * Illumina beadchip data * RNA-Seq data |
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== Useful Software Tools == |
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| * [[CSCPathwayAnalysisService/Tutorials | More]] ---- |
OICR Cancer Stem Cell Program - Biostatistics Service
The Biostatistics Service is freely available to all Cancer Stem Cell program members. You can get help with the design and analysis of genomics experiments, for example, sample size, biological replicates, or pooled samples.
Experiments 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.
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.
Statistical Analysis
- We also provide statistical analysis support, for example, normalization, batch correction, or model fitting
- Affymetrix microarray data
- Illumina beadchip data
- RNA-Seq data
Data Interpretation
If you need help with data interpretation (Pathway and Network Analysis), you can contact Dr. Veronique Voisin (Ph.D, bioinformatician) at veronique.voisin@gmail.com.
== Useful Software Tools ==
VLOOKUP: After the analysis of a gene expression experiment, often you have a few Excel spreadsheets and want to find out which genes are common between the two spread sheets. With large data sets, this can be a daunting task. Efficient use of Excel function VLOOKUP can help you find commonalities between the two spreadsheets. The VLOOKUP function can also be used to pull information from one spreadsheet on the basis of some reference values from the other spreadsheet & concatenate the set of information with the 2nd spreadsheet. For detailed instructions, please download the vlookup_new.xlsx file instead of viewing it in web browser.
Contact Dr. Changjiang Xu (Biostatistician) changjiang.xu@utoronto.ca