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Special Issue "Clinical Applications of Microarrays"
A special issue of Microarrays (ISSN 2076-3905).
Deadline for manuscript submissions: closed (30 June 2014) | Viewed by 28496
Special Issue Editor
Interests: cancer transcriptomics; oncogenic signal transduction; systems biology & oncology
Special Issue Information
This special issue summarizes reports on current development and application of microarray technology in the cancer field.
Prof. Dr. Reinhold Schäfer
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Microarrays is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 350 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- microarray-based analysis of microRNAomes and mRNAomes
- development of secondary assays based on microarray studies for cancer diagnostics
- breast cancer
- lung cancer
- prognostic markers
- work flow from research lab to clinical practice
- reverse phase protein arrays