Application of Biostatistics in Cancer Research

A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Informatics and Big Data".

Deadline for manuscript submissions: 31 March 2025 | Viewed by 134

Special Issue Editors


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Guest Editor
Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
Interests: clinical trial design; nonparametric statistics; randomization and permutation tests; computational methods in statistics
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
Interests: computational biology; graphical models; network analysis; predictive modeling; statistical inference; clinical trial design

Special Issue Information

Dear Colleagues,

Advances in statistical methods and cancer research are intrinsically linked, driving forward innovations in both fields. In an era where experimental therapies are increasingly expensive, cutting-edge and efficient clinical trial designs are crucial. These designs can significantly reduce costs and expedite the journey of successful treatments to the market.

Emerging technologies in radiomics, genomics, proteomics, metabolomics, and spatial transcriptomics demand sophisticated statistical and bioinformatics approaches. These include graphical models, machine learning, and artificial intelligence (AI). Moreover, new statistical methods in genome-wide association studies (GWASs) are instrumental in identifying individuals at increased risk of cancer, thereby enhancing prevention strategies and improving early detection through screening.

Additionally, the application of statistical approaches to natural language processing (NLP)—a technology that translates human language into machine-readable data—is a pioneering area in cancer research. This Special Issue will showcase breakthrough statistical methods poised to make a significant impact on advancing cancer research.

We look forward to receiving your contributions.

Sincerely,

Prof. Dr. Alan Hutson
Dr. Han Yu
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. Cancers 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 2900 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

  • clinical trial design
  • nonparametric statistics
  • randomization and permutation tests
  • computational methods in statistics
  • Bayesian methods
  • computational biology
  • graphical models
  • network analysis
  • machine learning
  • artificial intelligence
  • predictive modeling

Published Papers

This special issue is now open for submission.
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