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ORCIDGENSiPS 2012: Washington, DC, USA
- Proceedings 2012 IEEE International Workshop on Genomic Signal Processing and Statistics, GENSiPS 2012, Washington, DC, USA, December 2-4, 2012. IEEE 2012, ISBN 978-1-4673-5234-5
- Yihua Liu
, Peng Qiu:
Integrative analysis of methylation and gene expression data in TCGA. 1-4 - Elizabeth M. Jennings, Jeffrey S. Morris, Raymond J. Carroll, Ganiraju Manyam, Veerabhadran Baladandayuthapani:
Hierarchical Bayesian methods for integration of various types of genomics data. 5-8 - Ranadip Pal, Noah Berlow, Saad Haider:
Anticancer drug sensitivity analysis: An integrated approach applied to Erlotinib sensitivity prediction in the CCLE database. 9-12 - Jinlian Wang, Hongyan Yuan, Mahlet G. Tadesse, Habtom W. Ressom:
Integration of multiple data sources for identifying functional modules using Bayesian network. 13-17 - Sanvesh Srivastava, Wenyi Wang, Pascal O. Zinn, Rivka R. Colen, Veerabhadran Baladandayuthapani:
Integrating multi-platform genomic data using hierarchical Bayesian relevance vector machines. 18-21 - Sean S. Wang, Olga C. Rodriguez, Ye Tian, Shaozhen Ye, Emanual F. Petricoin, Chris Albanese:
Integration of imaging and systems biology to study treatment of medulloblastoma. 22-25 - Amir Nikooienejad, Richard Metz, Byung-Jun Yoon, Charles D. Johnson:
Fast DNA barcode generating algorithm using Radix Coding method. 26-30 - Steffen Schober, Katharina Mir, Klaus Neuhaus, Martin Bossert:
Design of short barcodes for next generation sequencing of DNA and RNA. 31-34 - Xiaohu Shen, Haris Vikalo:
A message passing algorithm for reference-guided sequence assembly from high-throughput sequencing data. 35-37 - Qingguo Wang, Zhongming Zhao:
A comparative study of methods for detecting small somatic variants in disease-normal paired next generation sequencing data. 38-41 - Yanxun Xu, Xiaofeng Zheng, Yuan Yuan, Marcos R. Estecio, Jean-Pierre Issa, Yuan Ji, Shoudan Liang:
A Bayesian model for SNP discovery based on next-generation sequencing data. 42-45 - Ying Cai, Bernard Fendler, Gurinder S. Atwal:
Utilizing RNA-Seq data for cancer network inference. 46-49 - Mohammadmahdi R. Yousefi, Aniruddha Datta, Edward R. Dougherty:
Optimal therapeutic methods with random-length response in probabilistic boolean networks. 50-53 - Xiaoning Qian:
A new phenotypically constrained control policy in boolean networks based on basins of attraction. 54-57 - Saad Haider, Noah Berlow, Ranadip Pal, Lara E. Davis, Charles Keller:
Combination therapy design for targeted therapeutics from a drug-protein interaction perspective. 58-61 - Xiaoxiao Xu, Gang Shi, Arye Nehorai:
Genome-wide meta-regression of gene-environment interaction. 62-65 - Amin Ahmadi Adl, Xiaoning Qian, Ping Xu, Kendra Vehik, Jeffrey P. Krischer:
Feature ranking based on synergy networks to identify prognostic markers in DPT-1. 66-69 - John H. Phan, Po-Yen Wu, May D. Wang:
Improving the flexibility of RNA-Seq data analysis pipelines. 70-73 - Xuchu Hou, Guoqiang Yu, Xiguo Yuan, Bai Zhang, Ie-Ming Shih, Zhen Zhang, Robert Clarke, Subha Madhavan:
Accurate identification of significant aberrations in contaminated cancer genome. 74-77 - Manas Bellani, Julien Epps, Gavin A. Huttley:
A comparison of periodicity profile methods for sequence analysis. 78-81 - Mohammed Elhenawy, Guoqiang Yu:
NMF based approach for finding recurrent aberrations in DNA copy number data. 82-85 - Bilal Wajid, Erchin Serpedin, Mohamed N. Nounou, Hazem N. Nounou:
MiB: A comparative assembly processing pipeline. 86-89 - Esmaeil Atashpaz-Gargari, Mohammad Shahrokh Esfahani, Richard Metz, Charles D. Johnson:
OBGene: Optimal barcode generator for NGS experiments. 90-94 - Anwoy Kumar Mohanty, Aniruddha Datta, Jijayanagaram Venkatraj:
Determining the relative prevalence of different subpopulations in heterogeneous cancer tissue. 95-96 - Ahsan Zaigam Rizvi, C. Bhattacharya:
Detection and clustering of palindrome in genome sequences by DCT-II method. 97-98 - Xiaoxiao Xu, Arye Nehorai, Joseph D. Dougherty:
Cell type specific analysis of human transcriptome data. 99-100 - Min Zhao, Jingchun Sun, Zhongming Zhao:
Comprehensive analyses of tumor suppressor genes in protein-protein interaction networks: A topological perspective. 101-102 - Lin Zhang, Hui Liu, Tzu-Hung Hsiao, Yidong Chen, Yufei Huang:
An investigation of clinical outcome prediction from integrative genomic profiles in ovarian cancer. 103-106 - Ivo Provazník, Vladimira Kubicova, Helena Skutkova, Jiri Nedved, Ewaryst Tkacz, Petr Babula, René Kizek:
Detection of short exons in DNA sequences using complex wavelet transform of structural features. 107-110 - Mattia Bosio, Pau Bellot Pujalte, Philippe Salembier, Albert Oliveras-Vergés:
Multiclass cancer-microarray classification algorithm with pair-against-all redundancy. 111-112 - Riten Mitra, Peter Müller, Yuan Ji, Gordon B. Mills, Yiling Lu:
Sparse Bayesian graphical models for RPPA time course data. 113-117 - Mario Flores, Yufei Huang:
A new algorithm for predicting competing endogenous rnas. 118-121 - Meng Lu, Hye-Seung Lee, David Hadley, Jianhua Z. Huang, Xiaoning Qian:
Logistic principal component analysis for rare variants in gene-environment interaction analysis. 122-125 - Mohammed Elhenawy, Xuchu Hou, Guoqiang Yu:
A non-parametric approach for estimating stromal contamination in cancer samples. 126-129 - Karl B. Gregory, Kevin R. Coombes, Amin A. Momin, Luc Girard, Lauren A. Byers, Steven Lin, Michael Peyton, John V. Heymach, John D. Minna, Veerabhadran Baladandayuthapani:
Latent feature decompositions for integrative analysis of diverse high-throughput genomic data. 130-134 - Yanxun Xu, Jie Zhang, Yuan Yuan, Riten Mitra, Peter Müller, Yuan Ji:
A Bayesian graphical model for integrative analysis of TCGA data. 135-138 - Seyed Javad Sajjadi, Xiaoning Qian, Bo Zeng:
Network-based methods to identify highly discriminating subsets of biomarkers. 139-142 - Gregory Ditzler, Gail Rosen, Robi Polikar:
Information theoretic feature selection for high dimensional metagenomic data. 143-146 - Navadon Khunlertgit, Byung-Jun Yoon:
Finding robust pathway markers for cancer classification. 147-150 - Ting Chen, Ulisses M. Braga-Neto:
A statistical test for intrinsically multivariate predictive genes. 151-154 - Tzu-Hung Hsiao, Hung-I Harry Chen, Yidong Chen:
Identification of functional genomic regions with copy number alteration in liver cancer. 155-158 - Günhan Gülsoy, Tamer Kahveci:
Inferring gene functions from metabolic reactions. 159-163 - Lori A. Dalton, Edward R. Dougherty:
Optimal Bayesian classification and its application to gene regulatory networks. 164-167 - Nitin K. Singh, Mehmet Eren Ahsen, Shiva Mankala, M. Vidyasagar, Michael A. White:
Inferring weighted and directed gene interaction networks from gene expression data using the phi-mixing coefficient. 168-171 - Ghulam Rasool, Nidhal Bouaynaya:
Inference of time-varying gene networks using constrained and smoothed Kalman filtering. 172-175 - Pey-Chang Kent Lin, Sunil P. Khatri:
Determining gene function in boolean networks using boolean satisfiability. 176-179 - Timothy M. Josserand:
External control of probabilistic boolean networks using inhomogeneous Markov chains. 180-182 - Peng Qiu:
Toward exhaustive gating of flow cytometry data. 183-186 - Mohammad R. Nezami Ranjbar, Mahlet G. Tadesse, Yue Joseph Wang, Habtom W. Ressom:
Normalization of LC-MS data using Gaussian process. 187-190 - Pascal Szacherski, Jean-François Giovannelli, Laurent Gerfault, Audrey Giremus, Pierre Grangeat:
Robust MS serum sample classification in proteomics by the use of inverse problems. 191-194 - Yi Zhao, Tsung-Heng Tsai, Cristina Di Poto, Lewis K. Pannell, Mahlet G. Tadesse, Habtom W. Ressom:
Variability assessment of LC-MS experiments and its application to experimental design and difference detection. 195-198 - Jian Cui, Xuepo Ma, Xiaolin Zhang, William Haskins, Jianqiu (Michelle) Zhang:
An SILAC quantification algorithm for LC-FTMS. 199-202 - Xiaogang Wu, Jake Y. Chen:
An evaluation for merging signaling pathways by using protein-protein interaction data. 203-206
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