Computational Methods for Integrative Cancer Data Analysis
A special issue of Cancers (ISSN 2072-6694). This special issue belongs to the section "Cancer Informatics and Big Data".
Deadline for manuscript submissions: 10 July 2026 | Viewed by 598
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue focuses on computational and bioinformatics advances that enable a deeper understanding of cancer biology and improved clinical decision-making. With the rapid growth of high-dimensional data from genomics, transcriptomics, proteomics, spatial profiling, and digital pathology, there is an urgent need for robust analytical frameworks that integrate multimodal data and translate molecular patterns into biological and clinical insights. We welcome contributions that develop or apply novel bioinformatic methods for cancer detection, classification, prognosis, therapeutic response prediction, and biomarker discovery. Topics of interest include, but are not limited to, machine learning and deep learning approaches, multi-task and multi-omics integration, advanced mass spectrometry data analysis, spatial and single-cell analytics, and interpretable models for clinical translation. By highlighting innovative computational methodologies and real-world cancer applications, this Special Issue aims to bridge methodological development and translational oncology research.
Dr. Kai Li
Guest Editor
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 communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
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
- cancer bioinformatics
- multi-omics integration
- machine learning
- translational oncology
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