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##'''Expectations from Statistical Consulting/Analysis of Microarray Experiments ''' ##'''Cancer Stem Cell Network''' |
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'''Expectations from Statistical Consulting/Analysis of Microarray Experiments ''' '''Cancer Stem Cell Network''' ''' ''' Statistical consulting for experiments in the Cancer Stem Cell Network is available by contacting Biostatistician Changjiang Xu at [[mailto:changjiang.xu@uhnres.utoronto.ca|changjiang.xu@utoronto.ca]] |
Statistical consulting for experiments in the Cancer Stem Cell Program is available by contacting Biostatistician Changjiang Xu at [[mailto:changjiang.xu@uhnres.utoronto.ca|changjiang.xu@utoronto.ca]] |
Consulting
Statistical consulting for experiments in the Cancer Stem Cell Program is available by contacting Biostatistician Changjiang Xu at changjiang.xu@utoronto.ca
Office hours : Tuesday 3:00pm-5:00pm and Thursday 11:00am -1:00pm.
In order to ensure that appropriate advice be given, the consulting is strongly suggested at the design stage of the experiment.
Upfront required Information from researcher
· Please provide a complete and concise summary of information about the experiment,
· Experimental units i.e., animal strain/Humans, etc. How they were selected?
· Sample preparation procedure if any?
· If experiment conducted on different days/times etc?
· Clear and concise research questions that you want to investigate
· Specify the number of experimental conditions (factors) that you plan to study, that might influence the response variable (gene expression values in case of microarray experiments)
· Number of stages that the experiment will be conducted. This will help us make sure that any factor (condition) of interest is not confounded with some non-biological factor, etc?
· The type of analysis that the researcher would think would be suitable to perform
· What type of chip would be used, if microarray experiment?
· How many samples that researcher is planning based on budget
After this upfront meeting, the statistician would take a week to make a framework for the issues and suggest the statistical feasibility for the project etc. The statistician would give recommendations for the number of samples, any other design issues, randomization, blocking etc.