[BioC] comparison of two sets of developmental study

[Yan Zhou]

Hi, Steve,

Thank you for your reply. Sorry that I didn't make it clear. My 
interests are two layers:

1. Genes changing along development in tissue A  and B seperately; More 
precisely, genes change in A along development; Same as in tissure B;

2. Anti-correlated expression patterns as you mentioned in the two 
tissues in order to find key players which drive the two development 
differently.

Any suggestions will be appreciated!

Yan

Steve Lianoglou wrote:

>Hi,
>
>Some comments in line, but as a general note I feel like your
>questions are a bit vague:
>
>On Thu, Apr 15, 2010 at 2:23 PM, Yan Zhou <Yan.Zhou at fccc.edu> wrote:
>  
>
>>Hi, All,
>>
>>I have two microarray datasets. Each set have data from  8 different
>>developmental stages( A-H, each stage have at least 3-4 biological
>>replicates); The developmental stage are the same between the two; The only
>>difference between the two are the tissue source. It's known that the two
>>development are similar but not the same. I was wondering if anyone would
>>have good suggestions as to
>>1. how to capture genes that are changing along development in each tissure
>>seperately,
>>    
>>
>
>What does it mean to be "changing in each tissue separately".
>
>Can you put this in more precise terms? Are you looking for genes that
>show, say, anti-correlated expression patterns between the two tissue
>types across your time course?
>
>Or do you want to look at tissue A, and see which genes are
>differentially expressed from time 0 to time 1, 2, etc.
>
>  
>
>>2.  and also how to capture genes behave totally different between the two
>>developmental courses.
>>    
>>
>
>Maybe you mean anti-correlated here?
>
>-steve
>
>  
>