Clinical Sciences - QBRC

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  • 2018

    Deep integrative analysis for survival prediction

    Huang, C., Zhang, A. & Xiao, G., Jan 1 2018, PACIFIC SYMPOSIUM ON BIOCOMPUTING 2018. 212669 ed. World Scientific Publishing Co. Pte Ltd, p. 343-352 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    7 Scopus citations
  • 2017

    Imaging-genetic data mapping for clinical outcome prediction via supervised conditional Gaussian graphical model

    Zhu, X., Yao, J., Xiao, G., Xie, Y., Rodriguez-Canales, J., Parra, E. R., Behrens, C., Wistuba, I. I. & Huang, J., Jan 17 2017, Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016. Burrage, K., Zhu, Q., Liu, Y., Tian, T., Wang, Y., Hu, X. T., Jiang, Q., Song, J., Morishita, S., Burrage, K. & Wang, G. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 455-459 5 p. 7822559. (Proceedings - 2016 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2016).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    8 Scopus citations
  • 2016

    Lung cancer survival prediction from pathological images and genetic data - An integration study

    Zhu, X., Yao, J., Luo, X., Xiao, G., Xie, Y., Gazdar, A. & Huang, J., Jun 15 2016, 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2016 - Proceedings. IEEE Computer Society, p. 1173-1176 4 p. 7493475. (Proceedings - International Symposium on Biomedical Imaging; vol. 2016-June).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    40 Scopus citations
  • 2015

    Computer-assisted diagnosis of lung cancer using quantitative topology features

    Yao, J., Ganti, D., Luo, X., Xiao, G., Xie, Y., Yan, S. & Huang, J., 2015, Machine Learning in Medical Imaging - 6th International Workshop, MLMI 2015 Held in Conjunction with MICCAI 2015, Proceedings. Zhou, L., Shi, Y., Wang, L. & Wang, Q. (eds.). Springer Verlag, p. 288-295 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9352).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    20 Scopus citations
  • 2014

    Convex optimization for binary classifier aggregation in multiclass problems

    Park, S., Hwang, T. H. & Choi, S., 2014, SIAM International Conference on Data Mining 2014, SDM 2014. Zaki, M. J., Banerjee, A., Parthasarathy, S., Ning-Tan, P., Obradovic, Z. & Kamath, C. (eds.). Society for Industrial and Applied Mathematics Publications, p. 280-288 9 p. (SIAM International Conference on Data Mining 2014, SDM 2014; vol. 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
  • 2012

    Prioritizing disease genes by bi-random walk

    Xie, M., Hwang, T. & Kuang, R., 2012, Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Proceedings. PART 2 ed. p. 292-303 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7301 LNAI, no. PART 2).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    40 Scopus citations
  • Sparse robust matrix tri-factorization with application to cancer genomics

    Kim, S. J., Hwang, T. & Giannakis, G. B., 2012, 2012 3rd International Workshop on Cognitive Information Processing, CIP 2012. 6232906. (2012 3rd International Workshop on Cognitive Information Processing, CIP 2012).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    5 Scopus citations
  • 2010

    A heterogeneous label propagation algorithm for disease gene discovery

    Hwang, T. & Kuang, R., 2010, Proceedings of the 10th SIAM International Conference on Data Mining, SDM 2010. p. 583-594 12 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    54 Scopus citations
  • 2009

    A hypergraph-based learning algorithm for classifying arraycgh data with spatial prior

    Tian, Z., Hwang, T. & Kuang, R., 2009, 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009. 5174345. (2009 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2009).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • 2008

    Learning on weighted hypergraphs to integrate protein interactions and gene expressions for cancer outcome prediction

    Hwang, T., Tian, Z., Kuang, R. & Kocher, J. P., 2008, Proceedings - 8th IEEE International Conference on Data Mining, ICDM 2008. p. 293-302 10 p. 4781124. (Proceedings - IEEE International Conference on Data Mining, ICDM).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    53 Scopus citations
  • 2007

    High performance ZnO nanowire FET with ITO contacts

    Hollister, M. A., Le, J. D., Xiao, G., Lu, X. & Kiehl, R. A., Dec 1 2007, 65th DRC Device Research Conference. p. 113-114 2 p. 4373675. (65th DRC Device Research Conference).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    2 Scopus citations
  • MCTA: Target tracking algorithm based on minimal contour in wireless sensor networks

    Jeong, J., Hwang, T., He, T. & Du, D., 2007, Proceedings - IEEE INFOCOM 2007: 26th IEEE International Conference on Computer Communications. p. 2371-2375 5 p. 4215865. (Proceedings - IEEE INFOCOM).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    66 Scopus citations