Special Issue "Big Data for Oncology"
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pathology, Diagnostics, and Therapeutics".
Deadline for manuscript submissions: closed (31 March 2017)
In the era of Big Data, we are flooded by a large amount of information and data. The informatics age will probably revolutionize our understanding and management of information in diverse disciplines. A number of international consortia and institutions have set rules to guarantee the transparency and traceability of data so as to ensure its usefulness.
In this Special Issue, we, in particular, focus on how Big Data impacts, and offer solution to, oncology. With the emergence of many high-throughput technologies, and the heterogeneous data generated from different platforms, there is a need to synthesize the useful data from the various platforms, so as to provide information for accurate diagnoses, and the prescription of the right drug and the correct treatment to the right patient for the effective management of cancer.
We welcome original papers and review articles that focus on the latest advances of Big Data. The following key areas are covered, but are not exclusive:
- Next-generation oncology
- Standardized data collection to build prediction models in oncology
- Integrative clustering of multi-omics data: application to molecular classification of cancer
- Next-generation informatics for Big Data in the precision medicine era
- Big Data for cancer signaling pathway study
- Application of Big Data for cancer biomarker discovery and validation
- Big Data for cancer drug discovery
- Regulatory networks from Big Data: a roadmap for oncologists
- Next-generation sequencing and Big Data for cancer research
- Imaging in the era of Big Data
- Clinical trials, data protection and Big Data
- Dig Data in Chinese medicine for oncology services
Dr. William Chi-shing Cho
Manuscript Submission Information
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