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It seems I do not understand the posterior distribution described in this paper:
For a gene, given the observed read counts under two condi- tions, the posterior distribution of expression levels x1 and x2 under the two conditions can be calculated as above.
What values does lambda take in the formula of Post(lambda)? Does it take values from 0 to 1000, for example? And for each of this values a posterior probability is calculated and the most probable lambda is taken?
For a gene, given the observed read counts under two condi- tions, the posterior distribution of expression levels x1 and x2 under the two conditions can be calculated as above.
What values does lambda take in the formula of Post(lambda)? Does it take values from 0 to 1000, for example? And for each of this values a posterior probability is calculated and the most probable lambda is taken?