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바이오데이터 분석을 위한 기계학습 기술  

Hwang, Gyu-Baek (숭실대학교)
Jeong, Je-Gyun (서울대학교)
Nam, Jin-U (서울대학교)
Kim, Byeong-Hui (서울대학교)
Lee, Je-Geun (서울대학교)
Jang, Byeong-Tak (서울대학교)
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1 Hwang, K.-B., Cho, D.-Y., Park, S.-W., Kim, S.-D., and Zhang, B.-T., Applying machine learning techniques to analysis of gene expression data: cancer diagnosis, Methods of Microarray Data Analysis(Proceedings of CAMDA 2000), Lin, S.M. and Johnson, K.F.(eds.), pp. 167-182, Kluwer Academic Publichers, 2002
2 Raval, A., Ghahramani, Z., and Wild, D.L., "A Bayesian network model for protein fold and remote homologue recognition," Bioinformatics, 18(6):788-801, 2002   DOI   ScienceOn
3 Leslie, C., Eskin, E. and Noble, W. S., "The spectrum kernel: A string kernel for SVM protein classification," Proceedings of the Pacific Symposium on Biocomputing, 564- 575, 2002
4 Kashima, H., Tsuda, K., and Inokuchi, A., "Marginalized Kernels Between Labeled Graphs," In Proc. 20th International Conference on Machine Learning(ICML 2003), Washington, DC USA, 2003
5 Kim, B.H., Park, S.B., and Zhang, B.-T., "PromSearch: a hybrid approach to human core-promoter prediction," Lect. Notes Comput. SC., 3177:125-131, 2004
6 Tamayo, P., Slonim, D., Mesirov, J., Zhu, Q., Kitareewan, S., Dmitrovsky. E., Lander, E.S., and Golub, T.R., "Interpreting patters of gene expression with self-organizing maps: methods and application to hematopoietic differentiation," PNAS, 96:2907-2912, 1999   DOI
7 Chang, J.-H., Hwang, K.-B., O, S.J., and Zhang, B.-T., "Bayesian network learning with feature abstraction for gene-drug dependency analysis," Journal of Bioinformatics and Computational Biology, 3(1):61-77, 2005   DOI   ScienceOn
8 김병희, 김성천, 장병탁, Potential SVM을 이용한 압타머칩에서의 바이오마커 탐색, 한국정보과학회 가을학술발표 논문집, 제33권 2(A), pp. 22- 27, 2006
9 Saetrom, P., "Predicting the efficacy of short oligonucleotides in antisense and RNAi experiments with boosted genetic programming," Bioinformatics, 20(17):3055-63, 2004   DOI   ScienceOn
10 Hayashita, Y., et al., "A polycistronic micro- RNA cluster, miR-17-92, is overexpressed in human lung cancers and enhances cell proliferation," Cancer Res, 65(21):9628-32, 2005   DOI   ScienceOn
11 Johnson, S.M., et al., "RAS is regulated by the let-7 microRNA family," Cell, 120(5): 635-47, 2005   DOI   ScienceOn
12 Croce, C.M. and Calin, G.A., "miRNAs, cancer, and stem cell division," Cell, 122(1): 6-7, 2005   DOI   ScienceOn
13 Huang, J.C., Morris, Q.D., and Frey, B.J., "Detecting microRNA targets by linking sequence, microRNA and gene expression data," in Tenth Annual International Conference on Research in Computational Molecular Biology(RECOMB). Venice, Italy, 2006
14 Pournara, I.V. and Wernisch, L., "Reconstruction of gene networks using Bayesian learning and manipulation experiments," Bioinformatics, 20(17): 2934-2942, 2004   DOI   ScienceOn
15 Kim, S.-K., Nam, J.-W., Rhee, J.-K., Lee, W.-J., and Zhang, B.-T., "miTarget: microRNA target-gene prediction using a Support Vector Machine," BMC Bioinformatics, 7(1):411, 2006.   DOI
16 Ji, Y., Wu, C., Liu, P., Wang, J., and Coombes, K.R., "Applications of beta-mixture models in bioinformatics," Bioinformatics, 21(9):2118-2122, 2005   DOI   ScienceOn
17 Silva, J.M., et al., "Second-generation shRNA libraries covering the mouse and human genomes," Nat Genet, 37(11):1281-8, 2005   DOI
18 IARC Monographs on the Evaluation of the Carcinogenic Risks to Humans. Lyon, France: IARC Scientific Publications, 1995
19 Friedman, N., Linial, M., Nachman, I., and Pe'er, D., "Using Bayesian Network to Analyze Expression Data," J. Computational Biology, 7:601-620, 2000   DOI   ScienceOn
20 Park, S.-B., Hwang, S., and Zhang, B.-T., "Mining the risk types of human papillomavirus( HPV) by AdaCost," Lecture Notes in Computer Science, 2736: 403-412, 2003
21 Janicek, M.F. and Averette, H.E., "Cervical cancer: prevention, diagnosis, and therapeutics," A Cancer Journal for Clinicians, 51, 92-114, 2001   DOI   ScienceOn
22 Hwang, K.-B. and Zhang, B.-T., "Bayesian model averaging of Bayesian network classifiers over multiple node-orders: application to sparse datasets," IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, 35(6):1302-1310, 2005   DOI   ScienceOn
23 Eisen, M.B., Spellman, P.T., Brown, P.O., and Botstein, D., "Cluster analysis and display of genome-wide expression patterns," PNAS, 95:14863-14868, 1998   DOI
24 엄재홍, 김병희, 이제근, 허민오, 박영진, 김민혁, 김성천, 장병탁, AptaCDSS-압타머칩을 이용한 심 혈관질환 질환단계 예측 및 진단의사결정지원시스템, 한국정보과학회 가을학술발표 논문집, 제33권 2(A), pp. 28-32, 2006
25 Segal, E., Wang, H., and Koller, D., "Discovering molecular pathways from protein interaction and gene expression data," Bioinformatics, 19 Supple 1:i264-71, 2003   DOI   ScienceOn
26 Chang, K., Elledge, S.J., and Hannon, G. J., "Lessons from Nature: microRNA-based shRNA libraries," Nat Methods, 3(9): 707- 14, 2006   DOI   ScienceOn
27 Hochreiter, S. and Obermayer, K., "Kernel Methods in Computational Biology, chapter Gene Selection for Microarray Data," 319- 356. Eds.: Scholkopf B., Tsuda, K. and Vert, J.-P., MIT Press, Cambridge, Massachusetts, 2004.
28 Jothi, R., Zotenko, E., Tasneem, A., and Przytycka, T. M., "COCO-CL: hierarchical clustering of homology relations based on evolutionary correlations," Bioinformatics, 22(7): 779-788, 2006   DOI   ScienceOn
29 Madeira, S.C. and Oliveira, A.L., "Biclustering algorithms for biological data analysis: a survey," IEEE Transactions on Computational Biology and Bioinformatics, 1(1):24-45, 2004   DOI   ScienceOn
30 Werhli, A.V., Grzegorczyk, M., and Husmeier, D., "Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and Bayesian networks," Bioinformatics, 22(20):2523-2531, 2006   DOI   ScienceOn
31 김병희, 김성천, 장병탁, 기계학습에 의한 압타머 칩 데이터 기반 심혈관 질환 단계의 예측, 한국컴퓨 터종합학술대회 2006 논문집, 제33권 1(A), pp. 85-87, 2006.06
32 Joung, J.-G., Shin, D., Seong, R.-H., and Zhang, B.-T., "Identification of Regulatory Modules by Co-clustering Latent Variable Models: Stem Cell Differentiation," Bioinformatics, 22(16): 2005-2011, 2006   DOI   ScienceOn
33 Hwang, K.-B., Kim, B.-H., and Zhang, B.-T., "Learning hierarchical Bayesian networks for large-scale data analysis," Lect. Notes Comput. SC., 4232:670-679, 2006
34 Esquela-Kerscher, A. and Slack, F.J., "Oncomirs-microRNAs with a role in cancer," Nat Rev Cancer, 6(4):259-69, 2006.   DOI   ScienceOn
35 Mayrose, I., Friedman, N., and Pupko, T., "A Gamma mixture model better accounts for among site rate heterogeneity," Bioinformatics, 21:ii151-ii158, 2005   DOI
36 Zhang, B.-T, Yang, J., and Chi, S.W., "Self-organizing latent lattice models for temporal gene expression profiling," Mach. Learn., 52(1/2):67-89, 2003   DOI
37 Ben-Gal, I., Shani, A., Gohr, A., Grau, J., Arviv, S., Shmilovici, A., Posch, S., and Grosse, I., "Identification of transcription factor binding sites with variable-order Bayesian networks," Bioinformatics, 21(11): 2657- 2666, 2005   DOI   ScienceOn
38 Joung, J.-G., Hwang, K.-B., Nam, J.-W., Kim, S.-J., and Zhang, B.-T., "Discovery of microRNA-mRNA modules via populationbased probabilistic learning," Bioinformatics, 2007(in print)
39 zur Hausen, H. "Papillomaviruses causing cancer: evasion from host-cell control in early events in carcinogenesis," Journal of National Cancer Inst., 92:690-698, 2000
40 Whitney, A. R., Diehn, M., Popper, S. J., Alizadeh, A. A., Boldrick, J.C., Relman, D. A., and Brown, P. O., "Individuality and variation in gene expression patterns in human blood," PNAS, 100:1896-1901, 2003   DOI   ScienceOn
41 Tavazoie, S., Hughes, J., Campbell, M., Cho, R.J., and Church, G.M., "Systematic determination of genetic network architecture," Nat. Genet., 22:281-285, 1999   DOI   ScienceOn
42 Mahony, S., Golden, A., Smith, T.J., and Benos, P.V., "Improved detection of DNA motifs using a self- organized clustering of familial binding profiles," Bioinformatics, 21: i283-i291, 2005   DOI   ScienceOn
43 Gregory, R.I. and Shiekhattar, R., "MicroRNA biogenesis and cancer," Cancer Res, 65(9): 3509-12, 2005   DOI   ScienceOn
44 Model, F., König, T., Piepenbrock, C., and Adorjan, P., "Statistical process control for large scale microarray experiments," Bioinformatics, 18:S155-S163, 2002   DOI
45 Borovecki, F., Lovrecic, L., Zhou, J., Jeong, H., Then, F., Rosas, H.D., Hersch, S.M., Hogarth, P., Bouzou, B., Jensen, R.V., and Krainc, D., "Genome-wide expression profiling of human blood reveals biomarkers for Huntington's disease," PNAS, 102(31):11023-8, 2005.   DOI   ScienceOn
46 Troyanskaya O.G., Dolinski K., Owen A.B., Altman R.B., and Botstein D., "A Bayesian framework for combining heterogeneous data sources for gene function prediction(in S. cerevisiae)," Proc Natl Acad Sci,100(14): 8348-53, 2003
47 Furey, T. S., Cristianini, N., Duffy, N., Bednarski, D. W., Schummer, M., and Haussler, D., "Support vector machine classification and validation of cancer tissue samples using microarray expression data," Bioinformatics, 16(10):906-914, 2000   DOI   ScienceOn
48 Joung, J.-G., O, S.J., and Zhang, B.-T., "Protein sequence-based risk classification for human papillomaviruses," Computers in Biology and Medicine, 36:656-667, 2006   DOI   ScienceOn
49 Perrin, B.-E., Ralaivola, L., Mazurie, A., et al., "Gene networks inference using dynamic Bayesian networks," Bioinformatics, 19:ii138- ii148, 2003   DOI   ScienceOn
50 Eder, M. and Scherr, M., "MicroRNA and lung cancer," N Engl J Med, 352(23):2446- 8, 2005   DOI   ScienceOn
51 Vert, J.-P., "A tree kernel to analyze phylogenetic profiles," Bioinformatics, 18: S276- S284, 2002   DOI
52 Dembele, D. and Kastner, P., "Fuzzy cmeans method for clustering microarray data," Bioinformatics, 19: 973-980, 2003   DOI   ScienceOn
53 Qin, J., Lewis, D., and Noble,W., "Kernel hierarchical gene clustering from microarray gene expression data," Bioinformatics, 19: 2097-2104, 2003   DOI   ScienceOn
54 Nariai, N., Kim, S., Imoto, S., et al., "Using protein-protein interactions for refining gene networks estimated from microarray data by Bayesian networks," In Proceedings of the 9th Pacific Symposium on Biocomputing, 336-347, 2004
55 Saigo, H., Vert, J.-P., Ueda, N., and Akutsu, T., "Protein homology detection using string alignment kernels," Bioinformatics, 20:1682- 1689, 2004.   DOI   ScienceOn
56 Zhang, B.-T. and Hwang, K.-B., Bayesian network classifiers for gene expression analysis, A Practical Approach to Microarray Data Analysis, Berrar, D.P., Dubitzky, W., and Granzow, M.(eds.), pp. 150-165, Kluwer Academic Publishers, 2003