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Dataset Information

PhysioSpace: relating gene expression experiments from heterogeneous sources using shared physiological processes.


ABSTRACT: Relating expression signatures from different sources such as cell lines, in vitro cultures from primary cells and biopsy material is an important task in drug development and translational medicine as well as for tracking of cell fate and disease progression. Especially the comparison of large scale gene expression changes to tissue or cell type specific signatures is of high interest for the tracking of cell fate in (trans-) differentiation experiments and for cancer research, which increasingly focuses on shared processes and the involvement of the microenvironment. These signature relation approaches require robust statistical methods to account for the high biological heterogeneity in clinical data and must cope with small sample sizes in lab experiments and common patterns of co-expr

SUBMITTER: Lenz M 

PROVIDER: S-EPMC3798402 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature