DeltaStat v0.2

This program performs statistical calculations on data from a 2D gel experiment quantified in Delta2D. In order to get your 2D gel data loaded into our database, email me. P-values are calculated from a student's t-test in R. Sample analysis variables have been pre-loaded.

Date of Experiment (MMDDYY):

Help: Your Delta2D experimental data must be loaded into our database.

Analysis 1: Negative Fold Change

Fold change:

`ratio mean norm Volume experimental / mean norm Volume control`

Example: A fold change of -2.0 = 0.5 (1 / 2.0).

Average normalized volume:

Example: Setting this to greater than 0.05 will help eliminate noise as well as spots that are too faint to see.
For the negative fold change analysis, `average norm Volume of group control` should be used so that the experimental volume can be zero.

Analysis 2: Positive Fold Change

Fold change:

`ratio mean norm Volume experimental / mean norm Volume control`

Example: A fold change of -2.0 = 0.5 ; (1 / 2.0).

Average normalized volume:

Example: Setting this to greater than 0.05 will help eliminate noise as well as spots that are too faint to see.
For the positive fold change analysis, `average norm Volume of group experimental` should be used so that the control volume can be zero.

Conditions Common to Both Analyses

Number of matchings:

Example: If frequency is equal to 1, every spot has perfect matchings across all gels.

Relative standard deviation:

Help: The lower this value is set to, the more significant the results.

P-value:

`p-value` <

Example: Changes considered to be statistically significant have a p-value of less than 0.05.

Output:

HTML output with statistical graphs:
Printer friendly text-only output:

Analyses take 3-5 seconds to process.

Visit DeltaStat's home page and project page at Sourceforge.net.