Data Science in Cancer Genomics and Precision Medicine: 2nd Edition
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Genetics and Genomics".
Deadline for manuscript submissions: 20 June 2025 | Viewed by 2030
Special Issue Editor
Interests: cancer genomics; precision medicine; data science in genomics; next-generation sequencing; translational oncology; tumor immunology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This is a continuation to our series on the hot topic of “Data Science in Cancer Genomics and Precision Medicine”. We have already published a successful Special Issue, receiving interesting contributions and stimulating discussions (https://www.mdpi.com/journal/ijms/special_issues/Genomics_Medicine).
Data science in cancer genomics represents a new interdisciplinary field that applies statistics and next-generation sequencing (NGS) technologies to understand alterations in the genome of cancer cells. The data generated by these technologies are often termed “multi-omics data” and can include information on DNA, RNA, proteins, and epigenetic modifications. The use of data science in cancer genomics allows us to better understand the molecular basis of different cancers and exploit this information to match each patient with the most appropriate molecular targeted therapy, widely known as “precision medicine”. While traditional chemotherapy and radiation treatments target cellular processes that are common to both healthy and cancerous cells, precision medicine specifically directs newly developed treatments to cancer cells based on their underlying molecular profile.
This Special Issue of the International Journal of Molecular Sciences focuses on the research field of cancer genomics and precision medicine and welcomes both original research articles and review papers that deal with the molecular mechanisms underlying modifications in human cancer cells.
Dr. Apostolos Zaravinos
Guest Editor
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Keywords
- cancer genomics
- big data
- tumor immunology
- translational oncology
- precision medicine
- next-generation sequencing
- omics
- cancer genomic datasets
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