Multi-Omics Research in Oncology
A Special Issue of International Journal of Molecular Sciences (ISSN 1422-0067) belonging to the section "Molecular Oncology".
Deadline for manuscript submissions: 30 April 2027 | Viewed by 952
Editor
Interests: radiomics; bioinformatics; cancers; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are pleased to announce this Special Issue entitled “Multi-Omics Research in Oncology”, which aims to highlight recent advances in integrative cancer research through the combination of high-throughput sequencing technologies and data-driven analytical approaches.
This Special Issue welcomes studies utilizing genomics, transcriptomics, epigenomics, proteomics, single-cell and spatial omics, as well as emerging pathomics and radiomics approaches that extract quantitative information from digital pathology and medical imaging. Together, these complementary data modalities provide a more comprehensive understanding of tumor biology, heterogeneity, and the tumor microenvironment.
We particularly encourage contributions that apply machine learning, deep learning, and artificial intelligence to integrate multi-modal datasets, identify robust biomarkers, and improve cancer diagnosis, prognosis, and therapeutic response prediction. Both methodological developments and translational or clinical studies are welcome.
By integrating molecular sequencing data with imaging- and pathology-derived features, this Special Issue aims to promote interdisciplinary research and accelerate the translation of multi-omics discoveries into precision oncology.
Dr. Wenchao Gu
Guest Editor
Manuscript Submission Information
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Keywords
- multi-omics
- cancer genomics
- transcriptomics
- single-cell sequencing
- spatial omics
- machine learning
- artificial intelligence
- biomarker discovery
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