We use whole-genome transcription data and several data projection methods to infer differentiation stage prediction models for embryonic cells. Given a transcription profile of an uncharacterized cell, these models can then predict its developmental stage. In a series of experiments comprising 14 data sets from the Gene Expression Omnibus we demonstrate that the approach is robust and has excellent prediction ability both within a specific cell line and across different cell lines.
COBISS.SI-ID: 8578900
We have published a review that describes an important research area of development of holesterol-lowering drugs. Included is a deep analysis of side effects of statins and alternative therapies. Due to few publications on these two topics, the review may have a major impact for clinitians and pharmaceutical industry.
COBISS.SI-ID: 26853081