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Cancer Informatics

Title Abbreviation

Cancer Inform

Electronic ISSN

1176-9351

Therapeutic Area

Biotechnology, Genomics, Molecular Medicine, Oncology, Research

Readership

Biologists, Biomedical Engineers/Technologists, Molecular Biologists, Oncologists, Researchers

Scope

The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.

Sponsoring Association(s)

No associations affiliated with this journal

Publisher Name

SAGE Publications - UK

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