Computational and Systems Oncology (CSO)

Computational and Systems Oncology is an open access cancer research journal for the dissemination of technologies and applications that allow the understanding of cancer from a ‘systems approach’. We encourage the open sharing of computational and systems tools developed by authors to enable their application in oncology. We welcome manuscripts in the fields of mathematical and computational approaches applied to tumor genomic, proteomics, metabolomics, artificial intelligence, data science, tumor immunology and immunogenetics, theranostics, molecular imaging, evolutionary dynamics and game theory. The overarching scope of Computational and Systems Oncology is to provide a platform for the dissemination of technologies and applications that allow the understanding of cancer from a "systems approach". Cancer is a complex problem rooted in germ line or somatic mutations, epigenetic changes, alterations in signaling pathways, cell cycle regulation, angiogenesis, modulation of the tumor microenvironment and interactions with the immune system. Moreover, therapy introduces selection pressure that leads to new evolutionary paths for the tumor. A synthesis of and multimodality combination of these approaches is likely needed for a proper understanding and rational therapy of tumors. Combining such approaches together requires the development and implementation of computational tools not only to simulate the tumor but to generate realistic models to test new treatment avenues. We are also in the era of big data and cancer provides a very ripe field for the use of large data sets with many life histories to tease out what may or may not work. Thus, the journal welcomes manuscripts in the fields of mathematical and computational approaches applied to tumor genomic, proteomics, metabolomics, artificial intelligence, data science, tumor immunology and immunogenetics, theranostics, molecular imaging, evolutionary dynamics and game theory.

Computational and Systems Oncology (CSO) is :-

• International, Peer-Reviewed, Open Access, Refereed, tumor genomic, proteomics, metabolomics, artificial intelligence, data science, tumor immunology and immunogenetics, theranostics, molecular imaging, evolutionary dynamics, game theory, Oncology , Online , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2689-9655, Established: 2021,
• Provides Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE