Cancer Informatics

This international, peer reviewed, open-access journal publishes high-quality bioinformatics analyses of molecular genetics and/or clinical data pertaining to human cancer risk, prevention, outcome, or treatment response.

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.

Platform:

OvidSP

Publisher:

Sage Publications

Product Type:

Journal

Author:

Efird, J.T.

ISSN:

1176-9351

Specialty:

• Internal Medicine
• Oncology

Language:

English

Update Frequency:

Continuous

2024 Journal Impact Factor:

2.5 (Journal Citation Report, Web of Science Group)