Cancer Informatics and Big Data
A section of Cancers (ISSN 2072-6694).
Section Information
The availability of large cancer- and health-related data sets offers promise for understanding the genetic basis as well as the mechanisms of the initiation and progression of cancer. However, to optimally use and exploit large databases, optimal informatics and data analytics methods and tools, as well as other resources for developing novel cancer therapies and improving cancer care, must be applied to the sequencing and molecular data. The unavailability of appropriate analytics or prediction tools is often a challenge. The accessible computing power has drastically increased in recent years, requiring further development or replacement of software originally designed for much more limited resources and data. In this section of Cancers, we invite the submission of original research papers as well as timely review articles related to these challenges and opportunities. Topics of interest include, but are not limited to, all areas of cancer informatics and big data analytics, for example:
- Artificial intelligence
- Cancer immunology methods
- Data storage and sharing
- Deep learning
- Drug discovery, drug re-purposing, drug-resistance
- Image processing and analysis
- Next-generation sequencing
- Precision medicine and clinical decision-making
- Single-cell data analytics
- Statistical methods
- Visualization of large data sets
Editorial Board
Topical Advisory Panel
Special Issues
Following special issues within this section are currently open for submissions:
- Genomics and Bioinformatics Based Analysis of Cancer (Deadline: 30 June 2023)
- Mining Multi-Omics Data to Explore Tumor Biology (Deadline: 10 September 2023)
- Genomic Medicine in Cancer (Deadline: 15 October 2023)
- Computational Studies of Mutagenic Processes in Cancer (Deadline: 30 October 2023)
- Bioinformatics in Cancer Diagnostics and Screening (Deadline: 30 November 2023)
- Next Generation Sequencing for Cancer Diagnostics (Deadline: 30 November 2023)
- Unlocking the Potential of AI and Big Data in Cancer Research: Advances and Applications (Deadline: 20 December 2023)
- Computational Pathology for Breast Cancer and Gynecologic Cancer (Deadline: 31 March 2024)
Topical Collection
Following topical collection within this section is currently open for submissions:
