Probabilistic retrieval and visualization of biologically relevant microarray experiments
Helsinki University of Technology –
As ArrayExpress and other repositories of genome-
wide experiments are reaching a mature size, it is becoming more
meaningful to search for related experiments, given a particular
study. We introduce methods that allow for the search to be
based upon measurement data, instead of the more customary
annotation data. The goal is to retrieve experiments in which the
same biological processes are activated. This can be due either
to experiments targeting the same biological question, or to as-yet
unknown relationships. We use a combination of existing and new probabilistic
machine learning techniques to extract information about the
biological processes differentially activated in each experiment, to
retrieve earlier experiments where the same processes are activated,
and to visualize and interpret the retrieval results. Case studies on a
subset of ArrayExpress show that, with a sufﬁcient amount of data,
our method indeed ﬁnds experiments relevant to particular biological
questions. Results can be interpreted in terms of biological processes
using the visualization techniques.
Date: 2009-Apr-15 Time: 16:00:00 Room: 336
For more information:
INESC-ID ESR Talks – February 2023
If you are a masters/PhD student or a postdoctoral fellow, come and present your work in an informal and friendly environment – and savour some tasty snacks!
Individual talks will be 10-15 minutes plus time for feedback. Enroll on your selected date by emailing pedro.ferreira[at]inesc-id.pt.
Happening on the second Wednesday of every month (4pm-5pm):
- 15 February (Alves Redol, Room 9)
- 15 March (Alves Redol, Room 9)
- 12 April (Alves Redol, Room 9)
- 10 May (Alves Redol, Room 9)
- 14 June (Alves Redol, Room 9)
- 12 July (Alves Redol, Room 9)
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