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Association |
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This group of functions is
to visually study the associations among traits and/or genetic markers by
means of correlation and multiple-regression as assisted by biplots. |
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Find
associated variables... |
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To find variables that
are significantly associated with a target (dependent) variable at a
specified significance level, and the associations are presented in a
biplot to better understand the nature of the associations. |
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More
Stringent Criterion |
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To delete Less closely
associated variables. |
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Multiple Linear Regression |
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Conduct Regression |
To conduct
multiple-regression to show how much of the variation of the target
(dependent) variable is explained by the variables that associated with it
at the specified level. A biplot is used to help understand the
relationships. The use will be prompted if he/she wishes to use some
variables as covariates before multiple regression is conducted. |
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Remove Linked Markers |
Some variables
selected based on linear associations may not be directed associated with
the target (dependent) variable. This function can help identify and
remove such variables from the equation. |
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Delete Variables on Log Ratio |
This method is often
used to remove indirectly lined markers in the literature, but it has some
pitfalls. For example, two tightly linked markers that have large effects
on a trait may be mistakenly deleted and thereby a major QTL is missed. |
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Delete Variables on Log Ratio--refine |
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Include Interaction (epitasis) Terms |
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This function adds
two-marker interactions to the multiple-regression, which can be used to
identify significant epistatic effects in the determination of the
expression of a trait. |
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Between all markers |
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Between selected markers |
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Include Quadratic Terms |
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Adds significant
quadratic terms to the equation. |
