Home
Reference Report
| Reference | |||
|---|---|---|---|
| Citation | Tresch, A., Markowetz, F. (2008). Structure learning in Nested Effects Models. Stat. Appl. Genet. Mol. Biol. 7(1): Article9. (Export to RIS) | ||
| FlyBase ID | FBrf0215887 | ||
| Publication Type | Research paper | ||
| PubMed ID | 18312214 | ||
| PubMed Abstract | Nested Effects Models (NEMs) are a class of graphical models introduced to analyze the results of gene perturbation screens. NEMs explore noisy subset relations between the high-dimensional outputs of phenotyping studies, e.g., the effects showing in gene expression profiles or as morphological features of the perturbed cell. In this paper we expand the statistical basis of NEMs in four directions. First, we derive a new formula for the likelihood function of a NEM, which generalizes previous results for binary data. Second, we prove model identifiability under mild assumptions. Third, we show that the new formulation of the likelihood allows efficiency in traversing model space. Fourth, we incorporate prior knowledge and an automated variable selection criterion to decrease the influence of noise in the data. | ||
| DOI | 10.2202/1544-6115.1332 | ||
| Related Publication(s) | |||
Recent Updates
|
|||
| Description |
What does this section display?
This section contains items that were added to this record for each release.
It currently only tracks new links between this FlyBase report and other
FlyBase data classes (e.g. genes, references, stocks) or controlled
vocabulary terms (e.g. GO, anatomy terms).
What does this section not display?
This section does not currently display links that were removed or gene model changes.
|
||
| Update Feed |
Click the icon below to subscribe to this FlyBase record and receive updates automatically through your
feed reader.
|
||
| FB2013_03 | |||
| FB2013_02 | |||
| All updates | Click here to see a list of all updates to this record from FB2010_08 and on. | ||
|
Associated Information
|
|||
| Comments | |||
| Associated Files | |||
|
Other Information
|
|||
| Secondary IDs | |||
| Language of Publication | English | ||
| Additional Languages of Abstract | |||
| Also Published As | |||
|
Parent Publication
|
|||
| Publication Type | Journal | ||
| Abbreviation | Stat. Appl. Genet. Mol. Biol. | ||
| Title | Statistical applications in genetics and molecular biology | ||
| Publication Year | |||
| ISBN/ISSN | 1544-6115 | ||
|
Data from Reference
|
|||
| Genes (5)
|
|||