Special Issue "Bioinformatics and Statistics"

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Biology and Symmetry".

Deadline for manuscript submissions: 31 May 2021.

Special Issue Editors

Dr. Claudia Angelini
E-Mail Website
Guest Editor
Istituto per le Applicazioni del Calcolo “M. Picone”, National Research Council, Naples, Italy
Interests: statistics; bioinformatics
Dr. Italia De Feis
E-Mail Website
Guest Editor
Istituto per le Applicazioni del Calcolo “M. Picone”, National Research Council, Naples, Italy
Interests: statistics; penalty methods; bioinformatics
Dr. Antonella Iuliano
E-Mail
Guest Editor
Telethon Institute of Genetics and Medicine (TIGEM), Pozzuoli, Italy
Interests: statistics; cancer survival analysis; bioinformatics

Special Issue Information

Dear Colleagues,

In recent decades, advances in high throughput technologies have allowed scientists to collect massive omics datasets. International projects and consortia made different types of omics data publicly available. Examples span from transcriptomics to epigenomics, proteomics, and metabolomics.  Moreover, scientists can also collect heterogenous multi-omic information on the same samples, allowing to elucidate the interplay role of different cellular components. However, the difficulty in defining an appropriate statistical methodology to analyze the data and integrate different sources of information and the limited availability of efficient algorithms and software tools hinder the possibility of investigating fundamental cellular mechanisms and understanding disease onset and progression.

This gap has prompted us to highlight the statistical data analysis challenges and collect novel emerging statistical methods for omics data analysis and integration in a thematic issue in Symmetry on “Bioinformatics and Statistics”. Manuscripts that report novel software tools and efficient algorithms are very welcome, too.

Potential topics for manuscripts include but are not limited to:

  • Penalized statistical methods for omics data;
  • Statistical methods for omics data integration;
  • Machine learning and deep learning approaches in bioinformatics;
  • Mathematical and probabilistic models in biology;
  • Multitask learning in biological applications;
  • Network analysis and omics data;
  • Computational and statistical tools in bioinformatics;
  • High dimensional data visualization.

Dr. Claudia Angelini
Dr. Italia De Feis
Dr. Antonella Iuliano
Guest Editors

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 papers will be 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. Symmetry 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 1800 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

  • Dimension reduction
  • Deep learning approaches
  • Feature selection
  • Machine learning approaches
  • Multi-omics approaches
  • Network analysis
  • Next-generation sequencing
  • Omics data integration

Published Papers

This special issue is now open for submission.
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