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Cellular Relationships of Testicular Germ Cell Tumors Determined by Partial Canonical Correlation Analysis of Gene Expression Signatures

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We designed a procedure to explore cellular relationships from sets of characteristic genes in distinctive cell types, by using a partial canonical correlation analysis. The present procedure was then applied to the characteristic gene sets of seven subtypes of testicular germ cell tumors, reported previously. The cellular relationships were reconstructed well, and were consistent with the general histologic lineage model. New implications for the subtype differentiation were found. In particular, the correspondence between the inferred relationships and the functional characterizations of constituent genes suggested a hypothesis for the classification between seminoma and embryonal carcinoma. The partial canonical correlation analysis is also appropriate for revealing new features of cellular relationships, based on the transcriptional programs. Thus, the present procedure facilitates the creation of a macroscopic view of the cellular relationships, by following the detection of characteristically expressed genes.
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Keywords: Cellular relationship; Functional Interpretation; Germ Cell Tumorigenesis; Lineage Model; gene expression; graphical model; histologic lineage model; intratubular germ cell neoplasia; partial canonical correlation analysis; testicular germ cell tumors

Document Type: Research Article

Publication date: 2013-02-01

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  • Current Bioinformatics aims to publish all the latest and outstanding developments in bioinformatics. Each issue contains a series of timely, in-depth reviews written by leaders in the field, covering a wide range of the integration of biology with computer and information science.

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    Current Bioinformatics is an essential journal for all academic and industrial researchers who want expert knowledge on all major advances in bioinformatics.
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