Question: GFOLD posterior distribution
gravatar for tonja.r
5.1 years ago by
tonja.r490 wrote:

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?



rna-seq R • 1.2k views
ADD COMMENTlink modified 4.9 years ago by jianxing.tongji30 • written 5.1 years ago by tonja.r490
gravatar for jianxing.tongji
4.9 years ago by
jianxing.tongji30 wrote:

Just consider lambda as the 'true' expression level and the read count from RNAseq as an observation. Therefore the value for lambda is ranging from 0 to infinity. For example, if a gene has expression 890 (=absolute molecular counts * a scalar constant), the observed read count is a random variable and could be 900,450,1300,... The only thing you know about the read count is that it follows Poisson distribution with parameter 890.

ADD COMMENTlink modified 11 months ago by _r_am31k • written 4.9 years ago by jianxing.tongji30
Please log in to add an answer.


Use of this site constitutes acceptance of our User Agreement and Privacy Policy.
Powered by Biostar version 2.3.0
Traffic: 1866 users visited in the last hour