Hi all,

I have a pretty simple question on data anaysis, but I'm getting a bit lost in finding the correct statistical tests to run. The data looks like this:

Organism: Gene: Type: ExpressionFoldChange:

Bacteria1 Gene1 Metabolism 10

Bacteria1 Gene2 Metabolism 2.2

Bacteria2 Gene1 Metabolism 1.0

Bacteria2 Gene3 VitaminSynth 0.2

....

....

....

I want to identify variables that are associated with the greatest fold change.

I have two questions: 1)what is the best statistical test and R function to do this, and 2)do i need to normalize the fold change data somehow? the range is from 0.01 to 24, with 1 being no change and 10 being equal to 0.1 in the magnitude of change.

Much thanks, i guess its time to take a stats class.

-jt

I have a pretty simple question on data anaysis, but I'm getting a bit lost in finding the correct statistical tests to run. The data looks like this:

Organism: Gene: Type: ExpressionFoldChange:

Bacteria1 Gene1 Metabolism 10

Bacteria1 Gene2 Metabolism 2.2

Bacteria2 Gene1 Metabolism 1.0

Bacteria2 Gene3 VitaminSynth 0.2

....

....

....

I want to identify variables that are associated with the greatest fold change.

I have two questions: 1)what is the best statistical test and R function to do this, and 2)do i need to normalize the fold change data somehow? the range is from 0.01 to 24, with 1 being no change and 10 being equal to 0.1 in the magnitude of change.

Much thanks, i guess its time to take a stats class.

-jt

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