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Cell
image analysis, genome-wide association studies, biological text
mining, biological information integration
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Large-scale learning, online/incremental learning,
graph-based high-dimensional data analysis, learning from the Web
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April 2013
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Chun-Nan will present his paper entitled "Robust Cell segmenatation for Schizosaccharomyces Pombe Images with Focus Gradient" in IEEE ISBI 2013, April 7-11, San Francisco, CA.
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September 2012
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Chun-Nan was awarded a grant from the National Human Genome Research Institute (NHGRI) of the National Institute of Health (NIH) to apply biomedical text mining technologies to update a catalog of human genome-wide association studies.
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August 2012
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Chun-Nan received the IBM Faculty Award for his contributions in biomedical data and text mining.
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April 2012
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Chun-Nan gave a keynote speech in AIT/NCWIA 2012 in
Taichung, Taiwan, on Text Mining from Biomedical Literature.
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March 2012
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Chun-Nan's paper on high-throughput image-based drug screening, titled Ranking of Multidimensional Drug Profiling Data by Fractional Adjusted Bi-Partitional Scores, was accepted by Bioinformatics and the proceedings track of ISMB-2012.
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December 2011
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Chun-Nan attended the 2011 IEEE International Conference on Data Mining,
Vancouver, Canada, and presented the paper Time-aware Ranking of Dynamic Citation Networks.
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November 2011
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Chun-Nan attended the 2011 Asian Conference on Machine Learning,
Taoyuan, Taiwan, where he served as the program chair.
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October 2011
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Chun-Nan's paper titled Automatic Morphological Subtyping Reveals New Roles of Caspases in Mitochondrial Dynamics was published in PLoS Computational Biology.
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Chun-Nan's paper titled Soft tagging of overlapping high confidence gene mention variants for cross-species full-text gene normalization was published in BMC Bioinformatics. The paper describes his top-rank winning algorithm for the gene normalization task in BioCreative 3 biological text mining challenge in September 2010.
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July 2011
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Chun-Nan, Jose-Luis Ambite, Yigal Arens, and Leslie Lange from UNC were awarded a project on PFINDR: Phenotype finder in data resources by the National Heart, Lung, and Blood Institute (NHLBI) of the National Institute of Health.
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