Systems Approach for Understanding Metastasis

[1]  R. Kuick,et al.  Temporal quantitative proteomics by iTRAQ 2D-LC-MS/MS and corresponding mRNA expression analysis identify post-transcriptional modulation of actin-cytoskeleton regulators during TGF-beta-Induced epithelial-mesenchymal transition. , 2009, Journal of proteome research.

[2]  R. Albert,et al.  Network model of survival signaling in large granular lymphocyte leukemia , 2008, Proceedings of the National Academy of Sciences.

[3]  Robert Clarke,et al.  caBIG™ VISDA: Modeling, visualization, and discovery for cluster analysis of genomic data , 2008, BMC Bioinformatics.

[4]  Nicandro Cruz-Ramírez,et al.  Diagnosis of breast cancer using Bayesian networks: A case study , 2007, Comput. Biol. Medicine.

[5]  Chaoyang Zhang,et al.  Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks , 2007, BMC Bioinformatics.

[6]  Peter J. Woolf,et al.  miniTUBA: medical inference by network integration of temporal data using Bayesian analysis , 2007, Bioinform..

[7]  F. Bruggeman,et al.  Introduction to systems biology. , 2007, EXS.

[8]  F. Bruggeman,et al.  The nature of systems biology. , 2007, Trends in microbiology.

[9]  Jing Yu,et al.  Computational Inference of Neural Information Flow Networks , 2006, PLoS Comput. Biol..

[10]  Marco Grzegorczyk,et al.  Comparative evaluation of reverse engineering gene regulatory networks with relevance networks, graphical gaussian models and bayesian networks , 2006, Bioinform..

[11]  Ross D. Shachter,et al.  Bayesian network to predict breast cancer risk of mammographic microcalcifications and reduce number of benign biopsy results: initial experience. , 2006, Radiology.

[12]  Bartek Wilczynski,et al.  Applying dynamic Bayesian networks to perturbed gene expression data , 2006, BMC Bioinformatics.

[13]  R. Heinrich,et al.  Control of MAPK signalling: from complexity to what really matters , 2005, Oncogene.

[14]  Xiaohui Liu,et al.  A spatio-temporal Bayesian network classifier for understanding visual field deterioration , 2005, Artif. Intell. Medicine.

[15]  Byoung-Tak Zhang,et al.  Bayesian Network Learning with Feature Abstraction for Gene-drug Dependency Analysis , 2005, J. Bioinform. Comput. Biol..

[16]  I. Khalil,et al.  Systems biology for cancer , 2005, Current opinion in oncology.

[17]  E. Kunkel Systems biology in drug discovery , 2004, Nature Biotechnology.

[18]  J. T. Kemper,et al.  A stochastic model for prostate-specific antigen levels. , 2004, Mathematical biosciences.

[19]  Satoru Miyano,et al.  Dynamic Bayesian network and nonparametric regression for nonlinear modeling of gene networks from time series gene expression data. , 2004 .

[20]  Bart De Moor,et al.  Using literature and data to learn Bayesian networks as clinical models of ovarian tumors , 2004, Artif. Intell. Medicine.

[21]  D. Conti,et al.  Bayesian Modeling of Complex Metabolic Pathways , 2003, Human Heredity.

[22]  P. Shannon,et al.  Cytoscape: a software environment for integrated models of biomolecular interaction networks. , 2003, Genome research.

[23]  M. Vidal,et al.  Integrating 'omic' information: a bridge between genomics and systems biology. , 2003, Trends in genetics : TIG.

[24]  Satoru Miyano,et al.  Inferring gene networks from time series microarray data using dynamic Bayesian networks , 2003, Briefings Bioinform..

[25]  H. Kitano Computational systems biology , 2002, Nature.

[26]  T. Driscoll,et al.  Fatal work injuries in New South Wales. , 2002, New South Wales public health bulletin.

[27]  Emden R. Gansner,et al.  An open graph visualization system and its applications to software engineering , 2000, Softw. Pract. Exp..

[28]  D. Hanahan,et al.  The Hallmarks of Cancer , 2000, Cell.