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ORCIDGENSiPS 2013: Houston, TX, USA
- 2013 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSiPS 2013, Houston, TX, USA, November 17-19, 2013. IEEE 2013
O1: Integrative Genomic Data Analysis
- Anindya Bhadra, Veerabhadran Baladandayuthapani:
Integrative sparse Bayesian analysis of high-dimensional multi-platform genomic data in glioblastoma. 1-4 - Rolando J. Olivares, Arvind U. K. Rao, Ganesh Rao, Jeffrey S. Morris, Veerabhadran Baladandayuthapani:
Integrative analysis of multi-modal correlated imaging-genomics data in glioblastoma. 5-8 - Zhen Gao, Jianhua Ruan:
A structure-based approach to predicting in vitro transcription factor-DNA interaction. 9 - Anwoy Kumar Mohanty, Aniruddha Datta, Jijayanagaram Venkatraj:
On the modeling of heterogeneity in cancer tissue. 10
O2: Next-Generation Sequencing Data Analysis
- Nilanjana Banerjee, Sonia Chothani, Lyndsay N. Harris, Nevenka Dimitrova:
Identifying RNAseq-based coding-noncoding co-expression interactions in breast cancer. 11-14 - Po-Yen Wu, John H. Phan, May D. Wang
:
An approach for assessing RNA-seq quantification algorithms in replication studies. 15-18 - Amina Noor, Aitzaz Ahmad, Erchin Serpedin, Mohamed N. Nounou, Hazem N. Nounou:
ROBNCA: Robust Network Component Analysis for recovering transcription factor activities. 19-22
O3: Interaction Networks and Controls
- Yu-Chiao Chiu, Eric Y. Chuang, Tzu-Hung Hsiao, Yidong Chen:
Characterization of conditions for competing endogenous RNA regulation in GBM. 23 - Mario Flores, Yufei Huang, Yidong Chen:
NetceRNA: An algorithm for construction of phenotype-specific regulation networks via competing endogenous RNAs. 24-27 - Alain B. Tchagang, Sieu Phan, Fazel Famili, Youlian Pan, Adrian Cutler, Jitao Zou:
A generic model of transcriptional regulatory networks: Application to plants under abiotic stress. 28-31 - Mohammadmahdi R. Yousefi:
Compromised intervention policies for phenotype alteration. 32-35
O4: Marker Identification and Tumor Classification
- Ying-Wooi Wan, John Nagorski, Genevera I. Allen, Zhaohui Li, Zhandong Liu:
Identifying cancer biomarkers through a network regularized Cox model. 36-39 - Hua Li, Jim Vallandingham, Jie Chen:
SeqBBS: A change-point model based algorithm and R package for searching CNV regions via the ratio of sequencing reads. 40-43 - Osama A. Arshad, Priyadharshini S. Venkatasubramami, Aniruddha Datta, Jijayanagaram Venkatraj:
Exploiting the cancer and diabetes metabolic connection for therapeutic purposes. 44 - Yi Yang, Si Li, Andrew S. Maxwell, Natalie D. Barker, Yan Peng, Ying Li, Haoni Li, Xi Wu, Peng Li, Tao Huang, Chenhua Zhang, Nan Wang, Edward J. Perkins, Chaoyang Zhang, Ping Gong:
Deciphering chemically-induced reversible neurotoxicity by reconstructing perturbed pathways from time series microarray gene expression data. 45-48
O5: Drug Screening and Sensitivity Analysis
- Noah Berlow, Saad Haider, Ranadip Pal, Charles Keller:
Quantifying the inference power of a drug screen for predictive analysis. 49-52 - Qian Wan, Ranadip Pal:
A multivariate random forest based framework for drug sensitivity prediction. 53 - Xiangfang Li, Lijun Qian, Michael L. Bittner, Edward R. Dougherty:
Drug effect study on proliferation and survival pathways on cell line-based platform: A stochastic hybrid systems approach. 54-57 - Arezou Koohi:
Prediction of drug-target interactions using popular Collaborative Filtering methods. 58-61
O6: Methods in Genomics and Proteomics
- Tianyi Yang, Nguyen T. Nguyen, Yufang Jin, Merry Lindsey:
Parameter distribution estimation in first order ODE. 62-65 - Ting Chen, Ulisses M. Braga-Neto:
Optimal Bayesian MMSE estimation of the coefficient of determination for discrete prediction. 66-69 - Lori A. Dalton:
On the optimality of k-means clustering. 70-71 - Mohammad Shahrokh Esfahani, Edward R. Dougherty:
Effect of separate sampling on classification and the minimax criterion. 72-73
O7: Genetic Regulatory Networks and Signaling Pathways
- Belhassen Bayar, Nidhal Bouaynaya, Roman Shterenberg:
Inference of genetic regulatory networks with unknown covariance structure. 74-77 - Antti Larjo, Harri Lähdesmäki:
Active learning for Bayesian network models of biological networks using structure priors. 78-81 - Xiaoning Qian, Edward R. Dougherty:
Phenotypically constrained Boolean network inference with prescribed steady states. 82-83
O8: Statistical Signal Processing in Biomedical Applications
- Rajani Varghese, Sriram Sridharan, Aniruddha Datta, Jijayanagaram Venkatraj:
Modeling hypoxia stress response pathways. 84 - Xiaodong Cui, Jia Meng, Manjeet K. Rao, Yidong Chen, Yufei Huang:
An HMM-based Exome Peak-finding package for RNA epigenome sequencing data. 85
P: Poster Session
- Bilal Wajid, Ali Riza Ekti, Amina Noor, Erchin Serpedin, Muhammad Naeem Ayyaz, Hazem N. Nounou, Mohamed N. Nounou:
Supersonic MiB. 86-87 - Roozbeh Dehghannasiri, Byung-Jun Yoon, Edward R. Dougherty:
Designing experiments for optimal reduction of uncertainty in gene regulatory networks. 88-89 - Lori A. Dalton:
Optimal neyman-pearson classification under Bayesian uncertainty models. 90-91 - Lingjia Kong, Kaisa-Leena Aho, Kirsi Granberg, Christophe Roos, Reija Autio:
DBComposer: An R package for integrative analysis and management of gene expression microarray data. 92-93 - Sriram Sridharan, Aniruddha Datta, Jijayanagaram Venkatraj:
Boolean model to experimental validation: A preliminary attempt. 94-95 - Jason M. Knight, Ivan Ivanov, Edward R. Dougherty:
Bayesian multivariate Poisson model for RNA-seq classification. 96-97 - Amin Zollanvari, Ulisses M. Braga-Neto, Edward R. Dougherty:
Effect of mixing probabilities on the bias of cross-validation under separate sampling. 98-99 - Esmaeil Atashpaz-Gargari, Ulisses M. Braga-Neto, Edward R. Dougherty:
Improved branch-and-bound algorithm for U-curve optimization. 100-101 - Yan Cui, Xiaodong Cai, Zhong Jin:
Semi-supervised classification using sparse representation for cancer recurrence prediction. 102-105
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