Question: mutual rank values for distance matrix formation for co-expression analysis
gravatar for seemaviriyala
17 months ago by
seemaviriyala20 wrote:

We know that earlier version of co-expression database showed that Pearson correlation coefficient (PCC) is used to calculate the mutual rank (MR) values for creating a co-expression network. However, the latest version has neglected the PCC values and displays only the MR data. So how can we use MR to form a Euclidean distance matrix in co-expression analysis

assembly gene • 526 views
ADD COMMENTlink modified 17 months ago by finswimmer13k • written 17 months ago by seemaviriyala20

I suppose, If you do have RAW expression values then also you can create co-expression matrix!

ADD REPLYlink written 17 months ago by sangram_keshari230

i want to create using mutual rank values from co-expression database. This is because correlation data from COEXPRESdb was clustered using Euclidean distance matrix. For which we require PCC values, but as i said latest version of COEXPRESdb gives only MR and no PRR column.

ADD REPLYlink written 17 months ago by seemaviriyala20

why can't you just use the MR values as a distance? It might not be subadditive

ADD REPLYlink written 17 months ago by russhh5.2k
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: 1183 users visited in the last hour