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| #acl CancerStemCellGroup:read,write = Consulting = |
#acl CancerStemCellGroup:read,write,revert = Statistic Consulting = |
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| 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]] | '''Office hours''' : '''Tuesday 3:00pm-5:00pm''' and '''Thursday 11:00am -1:00pm''' |
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| '''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. |
Statistical consulting for experiments in the Cancer Stem Cell Program is available by contacting Biostatistician Changjiang Xu at changjiang.xu@utoronto.ca. In order to ensure that appropriate advice be given, the consulting is strongly suggested at the design stage of the experiment. |
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| · Please provide '''a complete and concise summary of''' information about the experiment, | * A complete and concise summary of information about the experiment, * Experimental units, i.e., animal strain/Humans, etc. How were they selected? * Sample preparation procedure if any * Was the experiment conducted on different days/times, etc? * Clear and concise research questions to be investigated * 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 * The type of chip that would be used, if microarray experiment * Number of the samples that researcher is planning based on budget |
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| · 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 question'''s 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. {{attachment:Enrichment_Map_01.png||width="500"}} <<BR>> == Downloads == * Report on Set XX [[attachment:Report_for_Set_XX.doc|Word DOC]] * Cytoscape Session file "" (fig.3) [[attachment:|CYS]] * Enrichment Map "" (fig.3) [[attachment:.pdf|PDF]] [[attachment:.png|PNG]] |
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. The statistician would give recommendations for the number of samples, any other design issues, randomization, blocking etc. |
Statistic Consulting
Office hours : Tuesday 3:00pm-5:00pm and Thursday 11:00am -1:00pm
Statistical consulting for experiments in the Cancer Stem Cell Program is available by contacting Biostatistician Changjiang Xu at changjiang.xu@utoronto.ca. 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
- A complete and concise summary of information about the experiment,
- Experimental units, i.e., animal strain/Humans, etc. How were they selected?
- Sample preparation procedure if any
- Was the experiment conducted on different days/times, etc?
- Clear and concise research questions to be investigated
- 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
- The type of chip that would be used, if microarray experiment
- Number of the 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. The statistician would give recommendations for the number of samples, any other design issues, randomization, blocking etc.