Application of Data Science in Cancer
A special issue of Genes (ISSN 2073-4425). This special issue belongs to the section "Human Genomics and Genetic Diseases".
Deadline for manuscript submissions: closed (5 March 2023) | Viewed by 2596
Special Issue Editors
Interests: machine learning; bioinformatics; computer vision; multi-omics; cancer
Interests: machine learning; interpretable deep learning; multi-omics data integration; mechanistic models; cancer immunotherapies
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cancer data science fueled by machine learning has facilitated a plethora of biomedical studies, improved cancer diagnosis and prognosis and led to ground-breaking discoveries in precision medicine. Many computational methods have been developed to address important biological and clinical questions, such as molecular classification of cancer types and subtypes, cancer vulnerability prediction, and patient stratification. This Special Issue focuses on the application of data science to cancer research. We welcome the submission of both original papers and reviews including, but not limited to, the following topics:
- Algorithmic development of machine learning/deep learning for cancer research;
- Integration of multi-omics cancer data through machine learning/deep learning;
- Clinical applications of cancer data science;
- Benchmark studies and re-analysis of existing datasets;
- Review of data science methods for cancer research.
Dr. Qing Zhong
Dr. María Rodríguez Martínez
Guest Editors
Manuscript Submission Information
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Keywords
- data science
- machine learning
- cancer
- precision medicine
- multi-omics
- bioinformatics
- computer vision
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