Clinical Sciences - QBRC

Research Output 2003 2019

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Conference contribution
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

Tumors
Brain
Deep learning
2017
4 Citations (Scopus)

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. Institute of Electrical and Electronics Engineers Inc., p. 455-459 5 p. 7822559

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

Imaging techniques
Likelihood Functions
Survival Analysis
Transcriptome
Gene expression
2016
17 Citations (Scopus)

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, Vol. 2016-June. p. 1173-1176 4 p. 7493475

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

Data integration
Lung Neoplasms
Gene expression
Tumors
Textures
2015
13 Citations (Scopus)

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, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Springer Verlag, Vol. 9352. 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

Computer aided analysis
Computer aided diagnosis
Lung Cancer
Classifiers
Textures
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. Society for Industrial and Applied Mathematics Publications, Vol. 1. p. 280-288 9 p.

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

Convex optimization
Classifiers
Agglomeration
Maximum likelihood estimation
Experiments
2012
19 Citations (Scopus)

Prioritizing disease genes by bi-random walk

Xie, M., Hwang, T. & Kuang, R., 2012, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 2 ed. Vol. 7301 LNAI. 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

Random walk
Genes
Gene
Proteins
Phenotype
4 Citations (Scopus)

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

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

Factorization
Genomics
2010
40 Citations (Scopus)

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

Labels
Genes
Heterogeneous networks
Supervised learning
Experiments
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

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

Comparative Genomic Hybridization
Learning algorithms
Learning
Biomarkers
Chromosomes
2008
23 Citations (Scopus)

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 - IEEE International Conference on Data Mining, ICDM. p. 293-302 10 p. 4781124

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

Gene expression
Proteins
Genes
Oncology
Data integration
2007
1 Citation (Scopus)

High performance ZnO nanowire FET with ITO contacts

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

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

Field effect transistors
Nanowires
Gate dielectrics
Transconductance
57 Citations (Scopus)

MCTA: Target tracking algorithm based on minimal contour in wireless sensor networks

Jeong, J., Hwang, T., He, T. & Du, D., 2007, Proceedings - IEEE INFOCOM. p. 2371-2375 5 p. 4215865

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

Target tracking
Wireless sensor networks
Sensor nodes
Communication
Kinematics