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