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1. |
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? |
A. | S(X,Y) = ( frac{1}{N-2} ) <sub>i=1,N</sub> . (X<sub>i</sub> X<sub>offset</sub>) (Y<sub>i</sub> + Y<sub>offset</sub>)/ <sub>x</sub>Q<sub>Y</sub> |
B. | S(X,Y) = ( frac{1}{N} ) <sub>i=1,N</sub> . (X<sub>i</sub> X<sub>offset</sub>) (Y<sub>i</sub> Y<sub>offset</sub>)/ <sub>x</sub>Q<sub>Y</sub> |
C. | S(X,Y) = ( frac{1}{N-1} ) <sub>i=1,N</sub> . (X<sub>i</sub> + X<sub>offset</sub>) (Y<sub>i</sub> + Y<sub>offset</sub>)/ <sub>x</sub>Q<sub>Y</sub> |
D. | S(X,Y) = ( frac{1}{N} ) <sub>i=1,N+2</sub> . (X<sub>i</sub> + X<sub>offset</sub>) (Y<sub>i</sub> Y<sub>offset</sub>)/ <sub>x</sub>Q<sub>Y</sub> |
Answer» C. S(X,Y) = ( frac{1}{N-1} ) <sub>i=1,N</sub> . (X<sub>i</sub> + X<sub>offset</sub>) (Y<sub>i</sub> + Y<sub>offset</sub>)/ <sub>x</sub>Q<sub>Y</sub> | |