Publications

c4Lab-1

Journals | Conferences


Journal Papers

  1. Kuo-I Lin, Kuo-Hsuan Hung, Shin-Tang Su, Chien-Yu Chen, Pang-Hung Hsu, Po-Chun Wu, Hsin-Yu Chen, Fan-Ru Lin, Ming-Daw Tsai, Shang-Yi Huang, Wan-Jung Wu, and Mei-Ju May Chen, Aiolos collaborates with Blimp-1 to regulate the survival of multiple myeloma cells, accepted by Cell Death and Differentiation, 2015.
  2. Samia Elfekih, Chien-Yu Chen, JuChun Hsu, Mahdi Belcaid, and David Haymer, Genes and proteins involved in chemosensory perception in the melon fly, Bactrocera cucurbitae, identified using a de novo assembled transcriptome, accepted by Scientific Reports, 2015.
  3. Chung-Te Lee, I-Tung Chen, Yi-Ting Yang, Tzu-Ping Ko, Yun-Tzu Huang, Jiun-Yan Huang, Ming-Fen Huang, Shin-Jen Lin, Chien-Yu Chen, Shih-Shun Lin, Donald V. Lightner, Han-Ching Wang, Andrew H.-J. Wang, Hao-Ching Wang, Lien-I Hor, and Chu-Fang Lo, The opportunistic marine pathogen Vibrio parahaemolyticus becomes virulent by acquiring a plasmid that expresses a deadly toxin, Proceedings of the National Academy of Sciences, 112 (34) 10798-10803, 2015.
  4. Tony Chien-Yen Kuo, Chuan-Hung Chen, Shu-Hwa Chen, I-Hsuan Lu, Li-Chun Huang, Chung-Yen Lin, Chien-Yu Chen, Hsiao-Feng Lo, Shih-Tong Jeng, Long-Fang Oliver Chen, The Effect of Red Light and Far-Red Light Conditions on Secondary Metabolism in Agarwood, BMC Plant Biology, 15:139, 2015.
  5. Wei-Yu Chen, Hsueh-Tzu Shih, Kuei-Yan Liu, Zong-Siou Shih, Li-Kai Chen, Tsung-Han Tsai, Mei-Ju Chen, Hsuan Liu, Bertrand Chin-Ming Tan, Chien-Yu Chen, Hsiu-Hsiang Lee, Benjamin Loppin, Ounissa Ait-Ahmed, June-Tai Wu*, Intellectual disability-associated dBRWD3 regulates gene expression through inhibition of HIRA/YEM-mediated chromatin deposition of histone H3.3, EMBO reports, 16(4):528-38, 2015.
  6. Kai-Wei Chang, Nancy A Huang, I-Hsuan Liu, E-Hui Wang, Ping Wu, Yen-Tzu Tseng, Michael W Hughes, Ting Xin Jiang, Mong-Hsun Tsai, Chien-Yu Chen, Yen-Jen Oyang, En-Chung Lin, Cheng-Ming Chuong and Shau-Ping Lin*, Emergence of Differentially Regulated Pathways Associated with the Development of Regional Specificity in Chicken Skin, BMC Genomics, 16:22, 2015.
  7. Tony Chien-Yen Kuo, Chia-Cheng Hu, Ting-Ying Chien, Mei-Ju May Chen, Hai-Tung Feng, Long-Fang O. Chen, Chien-Yu Chen* and Ju-Chun Hsu*, Discovery of Genes Related to Formothion Resistance in Oriental Fruit Fly (Bactrocera dorsalis) by a Constrained Functional Genomics Analysis, Insect Molecular Biology, 24(3):338-47, 2015.
  8. Yi-Ting Yang, I-Tung Chen, Chung-Te Lee, Chien-Yu Chen, Shih-Shun Lin, Lien-I Hor, Ta-Chien Tseng, Yun-Tzu Huang, Kallaya Sritunyalucksana, Siripong Thitamadee, Han-Ching Wang, Chu-Fang Lo, Draft Genome Sequences of Four Strains of Vibrio parahaemolyticus, Three of Which Cause Early Mortality Syndrome/Acute Hepatopancreatic Necrosis Disease in Shrimp in China and Thailand, Genome Announc. Vol. 2(5), e00816-14, 2014.
  9. Chuan-Hung Chen#, Tony Chien-Yen Kuo#, Meng-Han Yang, Ting-Ying Chien, Mei-Ju Chu, Li-Chun Huang, Chien-Yu Chen, Hsiao-Feng Lo, Shih-Tong Jeng and Long-Fang O. Chen, Identification of cucurbitacins and assembly of a draft genome for Aquilaria agallocha, BMC Genomics, 15:578, 2014.
  10. SenthilKumar Rajendran, I-Winnie Lin, Mei-Ju Chen, Chien-Yu Chen and Kai-Wun Yeh, Differential activation of sporamin expression in response to abiotic mechanical wounding and biotic herbivore attack in the sweet potato, BMC Plant Biology, 14:112, 2014.
  11. Pablo Meyer, Geoffrey Siwo, Danny Zeevi, Eilon Sharon, Raquel Norel, DREAM6 Promoter Prediction Consortium, Eran Segal and Gustavo Stolovitzky, Inferring gene expression from ribosomal promoter sequences, a crowdsourcing approach, Genome Research, 23:1928-1937, 2013.
  12. Cheng-Han Wu, Mong-Hsun Tsai, Chia-Chuan Ho, Chien-Yu Chen*, and Hsuan-Shu Lee*, De novo transcriptome sequencing of axolotl blastema for identification of differentially expressed genes during limb regeneration, BMC Genomics, 14:4342013, 2013.
  13. Hsi-Che Liu, Pei-Chen Peng, Tzung-Chien Hsieh, Ting-Chi Yeh, Chih-Jen Lin, Chien-Yu Chen, Jen-Yin Hou, Lee-Yung Shih, Der-Cherng Liang*, Comparison of feature selection methods for cross-laboratory microarray analysis, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 10(3):593-604, 2013.
  14. Chih-Kang Lin and Chien-Yu Chen*, PiDNA: predicting protein-DNA interactions with structural models, Nucleic Acids Research (Web Server issue), 41:W523-30, 2013.
  15. Matthew T Weirauch, Atina Cote, Raquel Norel, Matti Annala, Yue Zhao, Todd R Riley, Julio Saez-Rodriguez, Thomas Cokelaer, Anastasia Vedenko, Shaheynoor Talukder, DREAM5 Consortium, Harmen J Bussemaker, Quaid D Morris, Martha L Bulyk, Gustavo Stolovitzky, Timothy R Hughes*, Evaluation of methods for modeling transcription-factor sequence specificity, Nature Biotechnology, 31, 126–134, 2013.
  16. Ju-Chun Hsu, Ting-Ying Chien(§:equal contribution), Chia-Cheng Hu§, Mei-Ju May Chen§, Wen-Jer Wu, Hai-Tung Feng, David S. Haymer and Chien-Yu Chen*, Discovery of genes related to insecticide resistance in Bactrocera dorsalis by functional genomic analysis of a de novo assembled transcriptome, PLoS ONE, 7(8): e40950, 2012.
  17. Ting-Ying Chien, Chih-Kang Lin, Chih-Wei Lin, Yi-Zhong Weng, Chien-Yu Chen*, Darby Tien-Hao Chang*, DBD2BS: connecting a DNA-binding protein with its binding sites, Nucleic Acids Research, Vol. 40, Web Server issue, pp. W173-179, 2012.
  18. Mei-Ju May Chen, Lih-Ching Chou, Tsung-Ting Hsieh, Ding-Dar Lee, Kai-Wei Liu, Chi-Yuan Yu, Yen-Jen Oyang, Huai-Kuang Tsai*, and Chien-Yu Chen*, De novo motif discovery facilitates identification of interactions between transcription factors in Saccharomyces cerevisiae, Bioinformatics, 28(5):701-708, 2012.
  19. Chien-Yu Chen, Ting-Ying Chien, Chih-Kang Lin, Chih-Wei Lin, Yi-Zhong Weng, and Darby Tien-Hao Chang*, Predicting Target DNA Sequences of DNA-binding Proteins Based on Unbound Structures, PLoS ONE, 7(2):e30446, 2012.
  20. Chien-Chih Wang and Chien-Yu Chen*, Predicting DNA-binding Locations and Orientation on Proteins Using Knowledge-based Learning of Geometric Properties, Proteome Science, 9(Suppl 1):S11, 2011.
  21. Chen-Ming Hsu, Chien-Yu Chen*, and Baw-Jhiune Liu, WildSpan: Mining Structured Motifs from Protein Sequences, Algorithms for Molecular Biology, 6:6, 2011.
  22. Chih-Min Liu, Cathy S-J Fann, Chien-Yu Chen, Yu-Li Liu, Yen-Jen Oyang, Wei-Chih Yang, Chien-Ching Chang, Chun-Chiang Wen, Wei J. Chen, Tzung-Jeng Hwang, Ming-Hsien Hsieh, Chen-Chung Liu, Stephen V. Faraone, Ming T. Tsuang, and Hai-Gwo Hwu*, ANXA7, PPP3CB, DNAJC9, and ZMYND17 Genes at Chromosome 10q22 Associated with the Subgroup of Schizophrenia with Deficits in Attention and Executive Function, Biological Psychiatry, 70(1):51-58, 2011.
  23. Hsi-Che Liu, Lee-Yung Shih, Mei-Ju May Chen, Chien-Chih Wang, Ting-Chi Yeh, Tung-Huei Lin, Chien-Yu Chen, Chih-Jen Lin, and Der-Cherng Liang*, Expression of HOXB genes is significantly different in acute myeloid leukemia with a partial tandem duplication of MLL vs. a MLL translocation: a cross-laboratory study, Cancer Genetics (note: Cancer Genetics was previously published as Cancer Genetics and Cytogenetics), 204(5):252-259, 2011.
  24. Darby Tien-Hao Chang, Ting-Ying Chien, and Chien-Yu Chen*, seeMotif: exploring and visualizing sequence motifs in 3D structures, Nucleic Acids Research, Vol. 37, Web Server issue, W552-558, 2009.
  25. Li-Yu Daisy Liu, Chien-Yu Chen, Mei-Ju May Chen, Ming-Shian Tsai, Cho-Han Sam Lee, Tzu L. Phang, Li-Yun Chang, Wen-Hung Kuo, Hsiao-Lin Hwa, Huang-Chun Lien, Shih-Ming Jung, Yi-Shing Lin, King-Jen Chang, and Fon-Jou Hsieh*, Statistical identification of gene association by CID in application of constructing ER regulatory network, BMC Bioinformatics, 10:85, 2009.
  26. Ting-Ying Chien, Darby Tien-Hao Chang*, Chien-Yu Chen, Yi-Zhong Weng, and Chen-Ming Hsu, E1DS: catalytic site prediction based on 1D signatures of concurrent conservation, Nucleic Acids Research, Vol. 36, Web Server issue, pp. W291-W296, 2008.
  27. Darby Tien-Hao Chang, Yu-Yen Ou, Hao-Geng Hung, Meng-Han Yang, Chien-Yu Chen, and Yen-Jen Oyang*, Prediction of protein secondary structures with a novel kernel density estimation based classifier, BMC Research Notes, 1:51, 2008.
  28. Ching-Yu Chou, Li-Yu Liu, Chien-Yu Chen, Cheng-Hsien Tsai, Hsiao-Lin Hwa, Li-Yun Chang, Yi-Shing Lin, and Fon-Jou Hsieh*, Gene expression variation increase in trisomy 21 tissues, Mammalian Genome, Vol. 19(6), pp. 398-405, 2008.
  29. Chien-Yu Chen, Huai-Kuang Tsai, Chen-Ming Hsu, Mei-Ju May Chen, Hao-Geng Hung, Grace Tzu-Wei Huang, and Wen-Hsiung Li*, Discovering gapped binding sites of yeast transcription factors, Proceedings of the National Academy of Sciences, Vol. 105(7), pp. 2527-2532, 2008.
  30. Hsi-Che Liu, Chien-Yu Chen*, Yu-Ting Liu, Cheng-Bang Chu, Der-Cherng Liang, Lee-Yung Shih and Chih-Jen Lin, Cross-generation and Cross-laboratory Predictions of Affymetrix Microarrays by Rank-based Methods, Journal of Biomedical Informatics, Vol. 41(4), pp. 570-579, 2008.
  31. Chung-Tsai Su, Chien-Yu Chen*, and Chen-Ming Hsu, iPDA: Integrated Protein Disorder Analyzer. Nucleic Acids Research, Vol. 35, Web Server issue, pp. W465-W472, 2007.
  32. Chen-Ming Hsu, Chien-Yu Chen*, Baw-Jhiune Liu, Chih-Chang Huang, Min-Hung Laio, Chien-Chieh Lin, and Tzung-Lin Wu, Identification of Hot Regions in Protein-Protein Interactions by Sequential Pattern Mining, BMC Bioinformatics, 8(Suppl 5):S8, 2007.
  33. Chung-Tsai Su, Chien-Yu Chen*, and Yu-Yen Ou, Protein Disorder Prediction by Condensed PSSM Considering Propensity for Order or Disorder, BMC Bioinformatics, 7:319, 2006.
  34. Chen-Ming Hsu, Chien-Yu Chen*, Baw-Jhiune Liu, MAGIIC-PRO: Detecting Functional Signatures by Efficient Discovery of Long Patterns in Protein Sequences, Nucleic Acids Research, Vol. 34, Web Server issue, pp. W356-61, 2006.
  35. Tsun-Chen Lin, Ru-Sheng Liu*, Chien-Yu Chen, Ya-Ting Chao, and Shu-Yuan Chen, Pattern Classification in DNA Microarray Data of Multiple Tumor Types, Pattern Recognition, Vol. 39(12), pp. 2426-2438, 2006.
  36. Chien-Yu Chen*, Wen-Chin Chung, and Chung-Tsai Su, Exploiting Homogeneity in Protein Sequence Clusters for Construction of Protein Family Hierarchies, Pattern Recognition, Vol. 39(12), pp. 2356-2369, 2006.
  37. Chien-Yu Chen*, Shien-Ching Hwang, and Yen-Jen Oyang, A Statistics-Based Approach to Control the Quality of Subclusters in Incremental Gravitational Clustering, Pattern Recognition, Vol. 38(12), pp. 2256-2269, 2005.
  38. Chien-Yu Chen*, Shien-Ching Hwang, and Yen-Jen Oyang, Analysis and Summarization of Correlations in Data Cubes and its Applications in Microarray Data Analysis, Intelligent Data Analysis, Vol. 9(1), pp. 43-58, 2005.
  39. Yen-Jen Oyang*, Shien-Ching Hwang, Yu-Yen Ou, Chien-Yu Chen, and Zhi-Wei Chen, Data Classification with the Radial Basis Function Network Based on a Novel Kernel Density Estimation Algorithm, IEEE transactions on neural networks, Vol. 16, No. 1, pp. 225-236, 2005.
  40. Chien-Yu Chen*, Yen-Jen Oyang, and Hsueh-Fen Juan, Incremental Generation of Summarized Clustering Hierarchy for Protein Family Analysis, Bioinformatics, Vol. 20(16), pp. 2586-2596, 2004.
  41. Darby Tien-Hau Chang, Chien-Yu Chen, Wen-Chin Chung, Yen-Jen Oyang*, Hsueh-Fen Juan, and Hsuan-Cheng Huang, ProteMiner-SSM: A Web Server for Identifying Possible Protein-Ligand Interactions Based on Analysis of Protein Tertiary Substructures, Nucleic Acids Research, Vol. 32, Web Server issue, pp. W76-W82, 2004.

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Conference papers/posters

  1. Ching Chang, Mei-Ju May Chen, Tony Kuo, Jian-Long Huang, David S. Haymer, Ju-Chun Hsu and Chien-Yu Chen, Improving completeness of de novo transcriptome assembly and gene annotation by comparison of species within the same genus, Poster of ECCB’14, the 13th European Conference on Computational Biology, 2014.
  2. Mei-Ju May Chen, You-Yu Lin, Wen-Hsiung Li and Chien-Yu Chen, Transcriptional Regulation of Long Non-coding Gene Expression in Drosophila melanogaster, Poster of ECCB’14, the 13th European Conference on Computational Biology, 2014.
  3. You-Yu Lin, Mei-Ju May Chen and Chien-Yu Chen, A study of inter- and intra-protein correlated mutations on highly similar protein sequences, Poster of ECCB’14, the 13th European Conference on Computational Biology, 2014.
  4. Jian-Long Huang, Ming-Yi Hong and Chien-Yu Chen, SeqHouse: a web platform for biological data integration and management, Poster of ECCB’14, the 13th European Conference on Computational Biology, 2014.
  5. Yi-An Tung(§:equal contribution), Mei-Ju May Chen§, Jian-Long Huang, Chia-Cheng Hu, Ting-Ying Chien, Chien-Yu Chen*. Segment-based quantification of differential expression in RNA-seq data, Abstract publichsed in International Symposium on Evolutionary Genomics and Bioinformatics, 2012.
  6. Yi-An Tung, Yong-Syuan Chen, Mei-Ju May Chen, and Chien-Yu Chen*, Predicting promoter activities by non-linear combination of sequence motifs, 6th Annual-DREAM Engineering Challenges, 2nd place of the Promoter Activity Prediction Challenge, 2011.
  7. Yi-An Tung, Hsing-Yu Chen, Tsan-Piao Lin, and Chien-Yu Chen*, Investigating links between primary structure of AP2/ERF family and the target DNA sequences, Poster of 8th Annual RECOMB Regulatory Genomics, 2011.
  8. Mei-Ju Chen, Chia-Cheng Hu, Ju-Chun Hsu, and Chien-Yu Chen*, Different transcript segments reveal consistent information about expression ratios in RNA-seq, Poster of 7th Annual RECOMB Systems Biology, 2011.
  9. Ting-Ying Chien and Chien-Yu Chen*, Performing Functional Site Prediction on Protein Sequences Generated by De Novo Transcriptome Assembly, Poster of 19th Annual International Conference on Intelligent Systems for Molecular Biology, 2011.
  10. Mei-Ju Chen and Chien-Yu Chen*, Improving Network Completeness of Yeast Transcriptional Interaction Network by Predicted TF-TF Interactions, Poster of 19th Annual International Conference on Intelligent Systems for Molecular Biology, 2011.
  11. Yi-An Tung, Yu-Ying Chang, Rong-Nan Huang, and Chien-Yu Chen, Sequence Composition Analysis on Arsenic-binding Proteins in Human Cells, Poster of IEEE International Conference on Bioinformatics and Biomedicine, 2010.
  12. Chien-Chih Wang and Chien-Yu Chen*, Predicting DNA-binding Locations and Orientation on Proteins Using Knowledge-based Learning of Geometric Properties, in Proceedings of IEEE International Conference on Bioinformatics and Biomedicine, 2010.
  13. Ting-Ying Chien, Chien-Yu Chen, Chih-Kang Lin, Chih-Wei Lin, Cheng-Yi Huang, and Darby Tien-Hao Chang, Prediction of DNA-binding Profiles by Protein-DNA Complexes, Poster of 9th International Conference on Bioinformatics (InCoB), 2010.
  14. Po-Chun Wu, Mei-Ju Chen, Chien-Yu Chen, Exploiting Cross-Species Conservation To Improve Prediction Accuracy Of Discovering Transcription Factor Binding Sites, Poster of 9th Annual International Conference on Computational Systems Bioinformatics, 2010.
  15. Tsung-Ting Hsieh, Mei-Ju May Chen, Chien-Yu Chen, Investigating Consistency Between Curated Binding Profiles And PWMs Derived From Protein-DNA Structure Models, Poster of 9th Annual International Conference on Computational Systems Bioinformatics, 2010.
  16. Ai-Mi Chen and Chien-Yu Chen, Prediction of DNA-binding Regions from Sequence Conservation and Composition, Poster of 8th European conference in Computational Biology and Bioinformatics, 2008.
  17. Chien-Chih Wang and Chien-Yu Chen, Tracking DNA Routes by Basic Residues in Predicted Functional Regions of Protein Structures, Poster of 7th Annual International Conference on Computational Systems Bioinformatics, 2008.
  18. Ting-Ying Chien, Darby Tien-Hao Chang, Chien-Yu Chen, Yi-Zhong Weng, and Chen-Ming Hsu, Catalytic site prediction using E1DS server, Poster of 7th Annual International Conference on Computational Systems Bioinformatics, 2008.
  19. Mei-Ju Chen and Chien-Yu Chen, Identification of Transcription Factor Interacting Pairs by Mining ChIP-chip Data, Poster of 16th Annual International Conference Intelligent Systems for Molecular Biology, 2008.
  20. Ting-Ying Chien, Darby Tien-Hao Chang, Chien-Yu Chen, Yi-Zhong Weng, and Chen-Ming Hsu, E1DS: catalytic site prediction based on 1-dimensional signatures of concurrent conservation, Poster of 16th Annual International Conference Intelligent Systems for Molecular Biology, 2008.
  21. Chien-Yu Chen, Ai-Mi Chen, Chen-Ming Hsu, Chung-Tsai Su, Yung-Chia Chen, and Baw-Jhiune Liu, Prediction of DNA-binding Regions by Detecting Intra-molecular Interactions with Pattern Mining, Poster of 11th Research in Computational Molecular Biology (RECOMB), 2007.
  22. Ting-Ying Chien, Chein-Yu Chen, Darby Tien-Hao Chang, and Chen-Ming Hsu, Deriving Functional Signatures from Protein Sequences by Iterative Pattern Mining, Poster of 11th Research in Computational Molecular Biology (RECOMB), 2007.
  23. Chung-Tsai Su, Tong-Ming Hsu, Chien-Yu Chen, Yu-Yen Ou, Yen-Jen Oyang, Enhancing Protein Disorder Detection by Refined Secondary Structure Prediction, 1st International Conference on Bioinformatics Research and Development (BIRD-2007), Berlin, 2007.
  24. Chien-Yu Chen, Guan-Hau Chen, Tien-Hau Darby Chang, Ya-Ting Chao, Ru-Sheng Liu, Shu-Yuan Chen, and Yu-Yen Ou, Removing Noisy Relations to Reduce Side-Effect of Exploiting Homology Transitivity, Poster of 10th Research in Computational Molecular Biology (RECOMB), 2006.
  25. Chen-Ming Hsu, Chien-Yu Chen, Ching-Chi Hsu, and Baw-Jhiune Liu, Identification of Hot Regions in Protein-Protein Interactions by Sequential Pattern Mining, Poster of 10th Research in Computational Molecular Biology (RECOMB), 2006.
  26. Chen-Ming Hsu, Chien-Yu Chen, Ching-Chi Hsu, Baw-Jhiune Liu, Efficient Discovery of Structural Motifs from Protein Sequences with Combination of Flexible Intra- and Inter-block Gap Constraints, in Proceedings of 10th Pacific Area Conference on Knowledge Discovery and Data Mining (PAKDD-2006), Singapore, 2006.
  27. Yen-Jen Oyang, Darby Tien-Hau Chang, Yu-Yen Ou and Chien-Yu Chen, On the Convergence of the Locally Relaxed Kernel Density Estimator, HICStatistics-2006 (5th Annual Hawaii International Conference on Statistics, Mathematics and Related Fields).
  28. Yen-Jen Oyang, Yu-Yen Ou, Shien-Ching Hwang, Chien-Yu Chen and Darby Tien-Hau Chang, On the Convergence Rate of the Locally Relaxed Variable Kernel Density Estimator, HICStatistics-2006 (5th Annual Hawaii International Conference on Statistics, Mathematics and Related Fields).
  29. Ssu-Hua Huang, Ru-Sheng Liu, Chien-Yu Chen, Ya-Ting Chao, Shu-Yuan Chen, Prediction of Outer Membrane Proteins by Support Vector Machines Using Combinations of Gapped Amino Acid Pair Compositions, in Proceedings of IEEE Fourth Symposium on Bioinformatics and Bioengineering (BIBE-2005), Minneapolis, Minnesota, USA, 2005.
  30. Yen-Jen Oyang, Yu-Yen Ou, Shien-Ching Hwang, Chien-Yu Chen, and Darby Tien-Hau Chang, Data Classification with a Relaxed Model of Variable Kernel Density Estimation, in Proceedings of International Joint Conference on Neural Networks, 2005.
  31. Yu-Yen Ou, Chien-Yu Chen, and Yen-Jen Oyang, A Novel Radial Basis Function Network Classifier with Hierarchical Clustering Approach, in Proceedings of International Joint Conference on Neural Networks, 2005.
  32. Tsun-Chen Lin, Ru-Sheng Liu, Chen-Chung Liu, Chieh-Yu Chen, Shu-Yuan Chen, Genetic Algorithms and Silhouette Measures Applied to Microarray Data Classification, in Proceedings of the Third Asia-Pacific Bioinformatics Conference, Singapore, 2005.
  33. Darby Tien-Hau Chang, Chien-Yu Chen, Yen-Jen Oyang, Hsueh-Fen Juan, and Hsuan-Cheng Huang, An Efficient Mechanism for Prediction of Protein-Ligand Interactions Based on Analysis of Protein Tertiary Substructures, in Proceedings of IEEE Fourth Symposium on Bioinformatics and Bioengineering (BIBE-2004), Taichung, Taiwan, May 19-21, 2004.
  34. Chien-Yu Chen, Hsueh-Fen Juan, Po-Jen Hsiao, Shui-Tein Chen, Hsiang-Wen Tseng, and Yen-Jen Oyang, Design of an Incremental Clustering Package for Protein Function and Family Analysis, in Proceedings of IEEE 5th International Symposium on Multimedia Software Engineering, Taichung, Taiwan, 2003.
  35. Yen-Jen Oyang, Darby Tien-Hau Chang, Chien-Yu Chen, and Shien-Ching Hwang, Expediting Protein Structural Analysis with an Efficient Kernel Density Estimation Algorithm, in Proceedings of IEEE 5th International Symposium on Multimedia Software Engineering, Taichung, Taiwan, 2003.
  36. Yu-Yen Ou, Chien-Yu Chen, Shien-Ching Hwang, and Yen-Jen Oyang, Expediting Model Selection for Support Vector Machines Based on Data Reduction, in Proceedings of IEEE International Conference on Systems, Man and Cybernetics, 2003.
  37. Yen-Jen Oyang, Shien-Ching Hwang, Yu-Yen Ou, Chien-Yu Chen, and Zhi-Wei Chen, A Novel Learning Algorithm for Data Classification with Radial Basis Function Networks, in Proceedings of 9th International Conference on Neural Information Processing (ICONIP-2002), Singapore, Nov. 18-22, 2002.
  38. Chien-Yu Chen, Shien-Ching Hwang, and Yen-Jen Oyang, An Incremental Hierarchical Data Clustering Algorithm Based on Gravity Theory, in Proceedings of 6th Pacific Area Conference on Knowledge Discovery and Data Mining (PAKDD-2002), Taipei, Taiwan, May 6-8, 2002.
  39. Chien-Yu Chen, Shien-Ching Hwang, and Yen-Jen Oyang, Analysis and Summarization of Correlations in Data Cubes, in Proceedings of SPIE Vol. 4730 Data Mining and Knowledge Discovery: Theory, Tools, and Technology IV, Orlando. Florida, USA, April 1-5, 2002.
  40. Yen-Jen Oyang, Chien-Yu Chen, and Tsui-Wei Yang, A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory, in Proceedings of 5th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD-2001, Freiburg, Germany, September 3-5, 2001.

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