Question: In cluster analysis of microarray data– If Xi is the log odds value for gene X at time i, then for two genes X and Y and N observations, a similarity score is calculated. S(X,Y) is also known as the Pearson correlation coefficent. Xoffset and Yoffset can be the mean of the observations on X or Y, respectively, in which case is the standard deviation, or else Xoffset and Yoffset can be set to zero when a reference state is used. Which of the following best represents it?
Options
A : S(X,Y) = frac{1}{N-2}1N?2 ?i=1,N . (Xi – Xoffset) (Yi + Yoffset)/?xQY
B : S(X,Y) = frac{1}{N}1N ?i=1,N . (Xi – Xoffset) (Yi – Yoffset)/?xQY
C : S(X,Y) = frac{1}{N-1}1N?1 ?i=1,N . (Xi + Xoffset) (Yi + Yoffset)/?xQY
D : S(X,Y) = frac{1}{N}1N ?i=1,N+2 . (Xi + Xoffset) (Yi – Yoffset)/?xQY
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