Comment on “Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data”

Author

Mateusz, Bujko

Source

International Journal of Endocrinology

Issue

Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-2, 2 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2017-10-25

Country of Publication

Egypt

No. of Pages

2

Main Subjects

Biology

Abstract EN

I am working on the role of aberrant gene expression in the pathogenesis of nonfunctioning pituitary adenomas.

I started my work with a search of the literature and deposited data from previous expression profiling experiments.

Therefore, I have read the article “Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data” published by Zhao et al.

with great interest [1].

The authors performed a comprehensive analysis of gene expression in pituitary adenomas and normal pituitary, exploiting the data from five different microarray experiments, including different sample types.

This is the only integrative analysis in pituitary adenomas that has been published to date.

American Psychological Association (APA)

Mateusz, Bujko. 2017. Comment on “Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data”. International Journal of Endocrinology،Vol. 2017, no. 2017, pp.1-2.
https://search.emarefa.net/detail/BIM-1166027

Modern Language Association (MLA)

Mateusz, Bujko. Comment on “Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data”. International Journal of Endocrinology No. 2017 (2017), pp.1-2.
https://search.emarefa.net/detail/BIM-1166027

American Medical Association (AMA)

Mateusz, Bujko. Comment on “Identification of Differentially Expressed Genes in Pituitary Adenomas by Integrating Analysis of Microarray Data”. International Journal of Endocrinology. 2017. Vol. 2017, no. 2017, pp.1-2.
https://search.emarefa.net/detail/BIM-1166027

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1166027