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Statistical Computing in Medical Genetics: Current Approaches and Applications

This special issue belongs to the section “Technologies and Resources for Genetics“.

Special Issue Information

Dear Colleagues,

The field of medical genomics aims to tackle complex questions relating to the etiology and pathology of disease, as well as response to treatment and interaction with environmental exposures. With the reducing cost of high-throughput technologies has come the ability to capture an extensive breadth and depth of “omic” data for clinical cohorts. Along with this has come the need to develop and apply powerful statistical computing approaches to address research questions.

In this Special Issue, we will cover the topic of statistical computing in medical genomics. The issue will highlight research that has applied new or alternate approaches in the field. There will be an emphasis on methods involving a) genomic data integration to identify biological processes and pathways involved in disease pathogenesis; b) variable selection methods for understanding gene–gene and gene–environment interactions; c) machine learning methods to identify genomic signatures predictive of disease outcomes.

Prof. Dr. Rodney A. Lea
Guest Editor

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 250 words) can be sent to the Editorial Office for assessment.

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. Genes is an international peer-reviewed open access monthly 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 2600 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.

Keywords

  • genome informatics
  • computational
  • statistical
  • machine learning
  • gene-gene interaction

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Published Papers

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Genes - ISSN 2073-4425