In SVMs (Support vector machines) Data points are log-transformed and normalized as in method A, where for N observations of a gene i, the log transform Xi of the expression level Ei and reference level Ri is?
(a) Xi = \(\frac{Log (E_i/R_i)}{\sqrt{\sum_{j=1,N} Log_{z-2} (E_j/R_j)}}\)
(b) Xj = \(\frac{Log (E_j/R_i)}{\sqrt{\sum_{j=1,N} Log_z (E_j/R_j)}}\)
(c) Xi = \(\frac{Log (E_i/R_i)}{\sqrt{\sum_{j=1,(N-1)} Log_z (E_j/R_j)}}\)
(d) Xi = \(\frac{Log (E_i/R_i)}{\sqrt{\sum_{j=1,N} Log_z (E_j/R_j)}}\)
This question was addressed to me in an interview for job.
The doubt is from Global Gene Regulation in chapter Genome Analysis of Bioinformatics