Mining SOM expression portraits: feature selection and integrating concepts of molecular function
2012
Background
Self organizing maps (SOM) enable the straightforward portraying of high-dimensional data of large sample collections in terms of sample-specific images. The analysis of their texture provides so-called spot-clusters of co-expressed genes which require subsequent significance filtering and functional interpretation. We address feature selection in terms of the gene ranking problem and the interpretation of the obtained spot-related lists using concepts of molecular function.
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
68
References
41
Citations
NaN
KQI