id:"swepub:oai:gup.ub.gu.se/253110"
Search: id:"swepub:oai:gup.ub.gu.se/253110" > pGQL: A probabilist...
- 1 of 1
- Previous record
- Next record
- To hitlist
- Schilling, Ruben (author)
pGQL: A probabilistic graphical query language for gene expression time courses.
- Article/chapterEnglish2011
Publisher, publication year, extent ...
- 2011-04-18
- Springer Science and Business Media LLC,2011
Numbers
- LIBRIS-ID:oai:gup.ub.gu.se/253110
- https://gup.ub.gu.se/publication/253110URI
- https://doi.org/10.1186/1756-0381-4-9DOI
Supplementary language notes
- Language:English
Part of subdatabase
- SwePubSwePub
Classification
Notes
- Timeboxes are graphical user interface widgets that were proposed to specify queries on time course data. As queries can be very easily defined, an exploratory analysis of time course data is greatly facilitated. While timeboxes are effective, they have no provisions for dealing with noisy data or data with fluctuations along the time axis, which is very common in many applications. In particular, this is true for the analysis of gene expression time courses, which are mostly derived from noisy microarray measurements at few unevenly sampled time points. From a data mining point of view the robust handling of data through a sound statistical model is of great importance.We propose probabilistic timeboxes, which correspond to a specific class of Hidden Markov Models, that constitutes an established method in data mining. Since HMMs are a particular class of probabilistic graphical models we call our method Probabilistic Graphical Query Language. Its implementation was realized in the free software package pGQL. We evaluate its effectiveness in exploratory analysis on a yeast sporulation data set.We introduce a new approach to define dynamic, statistical queries on time course data. It supports an interactive exploration of reasonably large amounts of data and enables users without expert knowledge to specify fairly complex statistical models with ease. The expressivity of our approach is by its statistical nature greater and more robust with respect to amplitude and frequency fluctuation than the prior, deterministic timeboxes.
Subject headings and genre
Added entries (persons, corporate bodies, meetings, titles ...)
- Costa, Ivan G (author)
- Schliep, Alexander,1967Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik, datavetenskap (GU),Department of Computer Science and Engineering, Computing Science (GU)(Swepub:gu)xscale (author)
- Göteborgs universitetInstitutionen för data- och informationsteknik, datavetenskap (GU) (creator_code:org_t)
Related titles
- In:BioData mining: Springer Science and Business Media LLC41756-0381
Internet link
Find in a library
- BioData mining (Search for host publication in LIBRIS)
To the university's database
- 1 of 1
- Previous record
- Next record
- To hitlist
Find more in SwePub
- By the author/editor
- Schilling, Ruben
- Costa, Ivan G
- Schliep, Alexand ...
- About the subject
-
- NATURAL SCIENCES
- NATURAL SCIENCES
- and Computer and Inf ...
- and Bioinformatics
- Articles in the publication
- BioData mining
- By the university
- University of Gothenburg
Search outside SwePub
- Extend your search to:
- Google Book Search
- Google Scholar
Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.
- Copyright © LIBRIS - National Library Systems
- LIBRIS.kb.se
