Disqus - Latest Comments for wjjessen

Re: Overcomplicating the issue

wjjessen — Sat, 26 Jul 2008 17:00:17 -0000

Don't go out of your way to setup a copy Glenn. This is the motivation I need to update WP. Thanks.

Re: Overcomplicating the issue

wjjessen — Sat, 26 Jul 2008 17:00:16 -0000

Don't go out of your way to setup a copy Glenn. This is the motivation I need to update WP. Thanks.

Re: Overcomplicating the issue

wjjessen — Sat, 26 Jul 2008 01:39:18 -0000

Glenn: I can't get the plugin to work on WP 2.3.2. Here's the debug output:

Loading FriendFeed Data

Fatal error: Call to undefined method wpdb::update() in /home/.../wp-content/plugins/friendfeed-comments/friendfeed-comments.php on line 377

If I go to the edit page of a single post, under the 'FriendFeed Comments post', the pulldown menu lists all the posts for my blog. Choosing the right title and clicking save gives the following error:

Fatal error: Call to undefined method wpdb::update() in /home/.../wp-content/plugins/friendfeed-comments/friendfeed-comments.php on line 418

Re: Trendspotting: Molecular profiling data resources

wjjessen — Mon, 21 Jul 2008 17:35:52 -0000

While I generally agree with your thoughts, there are a number of issues with simply mashing up different gene expression data sources: platform, sample quality, normalization, reference and annotation are just a few that I can come up with off the top of my head.

I've been involved with a microarray consortium project that is one of a small number of studies (that I'm aware of) that included a technical reference sample in each array processing batch to align the data. Alignment is a HUGE problem with expression data. We further performed extensive statistical analysis to identify potential outlier arrays prior to data analysis. Most gene expression profiling studies don't take these quality control steps. I think pooling data sets that aren't preprocessed in a similar manner is risky.

In my experience, it's easy to show statistical significance with microarray data, especially with large data sets. However, statistical significance doesn't mean it's biologically meaningful.