Write in a clean editor, then format for Computational and Systems Oncology in one click — DocuGuru applies the official Wiley template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
Computational and Systems Oncology is a peer-reviewed journal published by Wiley, covering Cancer Genomics and Diagnostics, Cancer Cells and Metastasis, Mathematical Biology Tumor Growth.
| Publisher | Wiley |
|---|---|
| Reference style | Author–year (Chicago) Author–year — (Smith, 2023) in the text Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Computational and Systems Oncology 12 (3): 45–58.
Formats any DOI in Computational and Systems Oncology style. No sign-up. |
| Publishes research in | Cancer Genomics and Diagnostics Cancer Cells and Metastasis Mathematical Biology Tumor Growth Health, Environment, Cognitive Aging Bioinformatics and Genomic Networks |
| ISSN | 2689-9655 |
| Citation impact (2-yr) | 0.41 |
| h-index | 12 |
| i10-index | 14 |
| Total citations | 333 |
| Article processing charge | $2,900 |
| Open access | Yes |
| Top institutions publishing here | Indian Institute of Science Bangalore |
| Journal website | onlinelibrary.wiley.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Abstract Cancer is a multifactorial disease. Aberrant functioning of the underlying complex signaling network that orchestrates cellular response to external or internal cues governs incidence, progression, and recurrence of cancer. Detailed understanding of cancer's etiology can offer useful insights into arriving at novel therapeutic and disease management strategies. Such an understanding for most cancers is…
Mathematical modeling in cancer is enjoying a rapid expansion [1]. For collegial discussion across disciplines, many—if not all of us—have used the aphorism that “All models are wrong, but some are useful” [2]. This has been a convenient approach to justify and communicate the praxis of modeling. This is to suggest that the usefulness of…
Abstract The remarkable flexibility and adaptability of generative adversarial networks (GANs) have led to the proliferation of its models in bioinformatics research. Proteomic and transcriptomic profiles have been shown to be promising methods for discovering and identifying disease biomarkers. However, those analyses were performed by trained human examiners making the process tedious, time consuming, and…
Abstract Once cancer is initiated, with normal cells mutated into malignant ones, a solid tumour grows, develops and spreads within its microenvironment invading the local tissue; the disease progresses and the cancer cells migrate around the body leading to metastasis, the formation of distant secondary tumours. Interactions between the tumour and its microenvironment drive this…
Epithelial-mesenchymal transition (EMT) is an important biological process through which epithelial cells undergo phenotypic transitions to mesenchymal cells by losing cell-cell adhesion and gaining migratory properties that cells use in embryogenesis, wound healing, and cancer metastasis. An important research topic is to identify the underlying gene regulatory networks (GRNs) governing the decision making of EMT…
