Computational Data Mining in Cancer Bioinformatics and Cancer Epidemiology
Call for Papers
High throughput technologies such as microarray have produced huge amount of genomic and proteomic data in public domain. Many survey and clinical outcome data such as SEER data are also available. It is the organizer's belief that new computational methods are needed to deal with large complex data sets arising in cancer epidemiology and cancer bioinformatics. The objectives of this special issue are intended to address two challenging issues. One is how to identify and evaluate biomarkers (features, risk/protector) factors. The other is to develop new or adapt existing algorithms to analyze data from different sources. Original research papers in methods, in data mining, and machine learning with emphasis of applications in cancer genetics, cancer bioinformatics, and cancer epidemiology are solicited. Specific topics include but not limited to:
- Feature Selection and Biomarker Evaluations
- Feature selection with epigenetic, genomic, and proteomics data
- Feature selection with binary and time-to-event outcomes
- ROC and Bayesian based methods for biomarker evaluations
- Comparative studies in different biomarker screening methods
- Machine Learning in SNP Tagging and Genome-wide Association Studies
- Data mining and SNP tagging with haplotype and genotype data
- Machine learning in genetic mapping with binary and quantitative traits
- Data mining and machine learning in genome-wide association study
- Machine learning to detect gene-gene interactions
- Mining Data from Different Sources
- Algorithms to visualize and mine genomic data (microarray, SNP, CGH) simultaneously
- Machine learning methods to mine genomic and proteomic data together
- Gene network construction with data from different sources
- Spatial and temple data mining for cancer epidemiology and cancer Bioinformatics data
Authors should follow the Journal of Biomedicine and Biotechnology manuscript format described at the journal site http://www.hindawi.com/journals/jbb/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/, according to the following timetable:
| Manuscript Due | November 1, 2008 |
| First Round of Reviews | February 1, 2009 |
| Publication Date | May 1, 2009 |
Guest Editors
- Zhenqiu Liu, Division of Biostatistics and Bioinformatics, University of Maryland Greenebaum Cancer Center, Baltimore, MD 21201, USA
- Xue-wen Chen, Department of Electrical Engineering and Computer Science, The University of Kansas, Lawrence, KS 66045-2228, USA
- Dechang Chen, Department of Preventive Medicine and Biometrics, Uniformed Services University of the Health Sciences, Bethesda, MD 20814-4799, USA
- Haomiao Jia, Mailman School of Public Health, Columbia University, New York, NY 10032,USA