Zhenyu Wang
Biography
I am a D.Phil student at the Department of Computer Science, University of Oxford, and a member of Linacre College. I graduated from East China Teaching University, holding a BSc in Computer Science and Technology. And I received my MSc in Natural Computation from the School of Computer Science at University of Birmingham. My current research areas include: fuzzy rule-based systems, ensemble Learning, evolutionary algorithms, natural inspired optimizations, applications of intelligent system in cancer diagnosis and bioinformatics.
I have developed several fuzzy-based tools for cancer gene expression data classification, analysis and visulization. You can download the software packages and documentation from my Google Code Homepage.
My Current Google Scholar Citation Profile : h-index =4, sum of citations = 79. You can also found me at my Researchgate Homepage.
If You want to know more about my research area, here are some free online rescources:
1. Data Sets: The UCI Center for Machine Learning and Intelligent Systems contains 239 data sets as a service to the machine learning community; Kent Ridge Bio-medical Data sets (KRBD); Data sets for Data Mining and Exploration (DDME);
2. Online Books: Molecular Biology of the Cell. 4th edition; Bioinformatics: Converting Data to Knowledge;
3. Courses: Bioinformatics and Computation Biology Course @ Oxford; Molecular Mechanisms of Cancer and its Treatments; Introduction to Bioinformatics @ Universiteit Amsterdam; Bioinformatics @ Stanford University; Computer Applications in Molecular Biology - Stanford Open Course;
4. Videos: Cancer Research from U.S. National Cancer Institute; Cancer Molecular Biology Lectures @ University of Utah, Introduction to Biology @ MIT.
click here for more [ Online Resources ] (updating).
Selected Publications
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Building interpretable fuzzy models for high dimensional data analysis in cancer diagnosis
Z. Wang and V. Palade
In BMC Genomics. No. 12(S2):S5. 2011.
Details about Building interpretable fuzzy models for high dimensional data analysis in cancer diagnosis | BibTeX data for Building interpretable fuzzy models for high dimensional data analysis in cancer diagnosis
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Multi−objective evolutionary algorithms based Interpretable Fuzzy models for microarray gene expression data analysis
Zhenyu Wang and V. Palade
In Bioinformatics and Biomedicine (BIBM)‚ 2010 IEEE International Conference on. Pages 308−313. 2010.
Details about Multi−objective evolutionary algorithms based Interpretable Fuzzy models for microarray gene expression data analysis | BibTeX data for Multi−objective evolutionary algorithms based Interpretable Fuzzy models for microarray gene expression data analysis
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Leukemia cancer classification based on Support Vector Machine
Sung−Huai Hsieh‚ Zhenyu Wang‚ Po−Hsun Cheng‚ I−Shun Lee‚ Sheau−Ling Hsieh and Feipei Lai
In Industrial Informatics (INDIN)‚ 2010 8th IEEE International Conference on. Pages 819−824. 2010.
Details about Leukemia cancer classification based on Support Vector Machine | BibTeX data for Leukemia cancer classification based on Support Vector Machine