Statistical Methods and Applications in Genetics and Genomics

A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Probability and Statistics".

Deadline for manuscript submissions: 1 August 2024 | Viewed by 297

Special Issue Editors


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Guest Editor
School of Mathematics and Statistics, Northeast Normal University, Changchun, China
Interests: statistical genetics and genomics; high-dimensional statistics

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Guest Editor
Department of Biostatistics and Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
Interests: biostatistics; statistical genetics and multi-omics; machine learning

Special Issue Information

Dear Colleagues,

High-throughput sequencing technologies have catalyzed the rapid growth of large-scale complex genetics, genomics and multi-omics data. For example, the open-access UK Biobank data collects several petabytes of genetics, genomics, epidemiological and health data to investigate the genetic bases of human diseases and traits. However, the scale and complexity of such data pose significant challenges to traditional computational and statistical methods, both in terms of computational scalability and statistical efficiency.

To address these issues, this Special Issue aims to bridge this gap by providing a collection of articles that focus on innovative statistical methodologies and their applications in genetics genomics, and multi-omics data. This Special Issue will feature a selection of papers demonstrating the integration of advanced mathematical theories, statistical and machine/deep learning methods, , and computational algorithms to address complex problems in analyzing genetics, genomics and multi-omics data. The topics covered include statistical genetics and genomics, population genetics, bioinformatics, and computational biology. The objective is to advance the mathematical and statistical foundations of genomics research and enhance our understanding of the genetic underpinnings of various diseases and traits, facilitating the development of personalized medicine and healthcare strategies.

Prof. Dr. Zilin Li
Dr. Xihao Li
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 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. Mathematics is an international peer-reviewed open access semimonthly 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

  • statistical genetics and genomics
  • multi-omics
  • biostatistics
  • bioinformatics
  • computational biology

Published Papers

This special issue is now open for submission.
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