Bioinformatics Tools and Machine Learning Methods for Biomarker Discovery

A special issue of Life (ISSN 2075-1729). This special issue belongs to the section "Radiobiology and Nuclear Medicine".

Deadline for manuscript submissions: 31 October 2024 | Viewed by 159

Special Issue Editors

School of Innovation, Design and Technology, Wellington Institute of Technology, Wellington 5012, New Zealand
Interests: machine learning; deep learning; data visualization; health informatics; drug discovery; natural language processing; intelligent systems
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Mathematics and Statistics, Victoria University of Wellington, Wellington 6012, New Zealand
Interests: machine learning; data science; deep learning; biomedical image analysis; health informatics; bioinformatics; drug discovery
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue aims to compile cutting-edge research and advancements in bioinformatics tools and machine learning methods specifically tailored for the discovery and validation of biomarkers in various diseases and health conditions. Biomarkers play a pivotal role in disease diagnosis, prognosis, treatment selection, and monitoring, and this Special Issue seeks to spotlight the innovative methodologies and computational approaches driving biomarker discovery. This Special Issue welcomes diverse contributions from researchers and experts across bioinformatics, computational biology, health informatics, and related domains to share their original research, methodologies, reviews, and perspectives on themes including machine learning in biomarker discovery, multi-omics integration, NGS data analysis, single-cell omics, the clinical validation of biomarkers, and addressing challenges and future directions in biomarker discovery.

Dr. Trang Do
Dr. Binh P. Nguyen
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. Life 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

  • bioinformatics
  • machine learning
  • deep learning
  • biomarkers
  • multi-omics
  • NGS
  • single-cell
  • gene expression

Published Papers

This special issue is now open for submission.
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