Cancer Informatics
| 短名 | Cancer Inform. |
| Journal Impact | 2.54 |
| 国际分区 | ONCOLOGY(Q3) |
| ISSN | 1176-9351 |
| h-index | 37 |
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.
期刊主页| 涉及主题 | 生物遗传学计算机科学医学化学生物化学基因内科学数学计算生物学生物信息学癌症统计人工智能数据挖掘病理机器学习基因表达工程类程序设计语言 |
| 出版信息 | 出版商: Libertas Academica Ltd.，出版周期: ，期刊类型: journal |
| 基本数据 | 创刊年份: 2005，原创研究文献占比: 94.34%，自引率:4.20%， Gold OA占比: 91.11% |
| 平均审稿周期 | 网友分享经验：8 Weeks |
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