Application of Biostatistics in Cancer Management

A special issue of Current Oncology (ISSN 1718-7729).

Deadline for manuscript submissions: closed (1 December 2023) | Viewed by 234

Special Issue Editors


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Guest Editor
Department of Health Promotion/Disease Prevention, University of Tennessee Health Science Center, Memphis, TN 38163, USA
Interests: cancer genomics; pharmacogenomics; quality of life; bioinformatics and biostatistics

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Guest Editor
Division of Epidemiology, Biostatistics, and Environmental Health, School of Public Health, University of Memphis, Memphis, TN 38152, USA
Interests: Bayesian statistics; latent variable modeling; structural equation model; genomics and epigenetics
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Special Issue Information

Dear Colleagues,

In recent years, new technologies, treatment methods and study design lead to new discoveries that have greatly accelerated cancer treatment and improved treatment response and outcomes. Such new technologies include next-generation sequencing, metabolomics and proteomics, and associated computational tools and biostatical methods. In addition, the applications of machine learning and predictive modeling have been perused to predict long-term outcomes of cancer survivors and have generated combined predictors which have potential to be implemented clinically.

We are pleased to invite you to submit your recent works to the Special Issue “Application of Biostatistics in Cancer Management” in Current Oncology. This Special Issue aims to report on recent developments in methodology and/or application of genomics, machine learning and predictive modeling in cancers.

In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: (a) method/application of RNAseq in cancer; (b) method/application of microbiome in cancer; (c) method/application of proteomics in cancer; (d) cancer survivorship/long term outcome; (e) use of the Bayesian method in cancer management; (f) machine learning in cancer; and (g) meta-analysis of cancer outcomes.

We look forward to receiving your contributions.

Dr. Xueyuan Cao
Dr. Yu (Joyce) Jiang
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. Current Oncology 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 2200 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

  • cancer
  • genomics
  • pharmacogenomics
  • quality of life
  • survivorship
  • survival analysis
  • machine learning

Published Papers

There is no accepted submissions to this special issue at this moment.
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