RE: BioRDF Telcon

I usually monitor this group and don't contribute but seeing the recent exchanges about Gene expression, I feel a need to put things into a better perspective than the one currently Being shared My experience comes from many years overseeing bioinformatics (and gene expression, proteomics And clin

Dailymed RDF dataset has different identifiers to the original dataset

Hi all, One of the LODD RDF datasets, Dailymed, seems to have created identifiers for items without using the identifiers that are already available. For example, is equivalent to

Re: BioRDF Telcon

Hi Michael, Our use case is considered a pilot project for exploring how to use semantic web to represent some of the information about microarray experiments including co-expressed/differentially expressed genes and the context of how such genes are identified (as described in papers). While

Translational Medicine Ontology Telcon

Here's the reminder for tomorrow's Translational Medicine Ontology telcon. Cheers, Susie ''' Conference Details''' * Date of Call: Thursday May 27 2010 * Time of Call: 12:00pm - 1:00pm ET * Dial-In #: +1.617.761.6200 (Cambridge, MA) * Dial-In #: +33.4.89.06.34.99 (Nice, France) * Dial-In #

Re: BioRDF Telcon

hi kei, Just want to clarify that what I meant was that it might be beyond the scope of our use case to accurately, comprehensively, and precisely define what gene expression really mean given the degree of complexity involved. exactly, i believe we can trust the authors of the gene expressi

Re: BioRDF Telcon

Hi Michael, mdmiller wrote: hi kei, What do we mean by differentially expressed genes? One definition is that differentially expressed genes are genes with significantly different expression in two samples/conditions/experimental factors/dimensions (e.g., treated vs. untreated, disease vs,

Re: BioRDF Telcon

hi kei, What do we mean by differentially expressed genes? One definition is that differentially expressed genes are genes with significantly different expression in two samples/conditions/experimental factors/dimensions (e.g., treated vs. untreated, disease vs, normal, time point1 vs. time