Continuous Petri Nets and microRNA Analysis in Melanoma
暂无分享,去创建一个
[1] De-Shuang Huang,et al. Normalized Feature Vectors: A Novel Alignment-Free Sequence Comparison Method Based on the Numbers of Adjacent Amino Acids , 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[2] Jianlin Cheng,et al. An overview of bioinformatics methods for modeling biological pathways in yeast. , 2016, Briefings in functional genomics.
[3] Xiao-shi Zhang,et al. Targeted therapy: resistance and re-sensitization , 2015, Chinese journal of cancer.
[4] H. Westerhoff,et al. Recurrent design patterns in the feedback regulation of the mammalian signalling network , 2008, Molecular systems biology.
[5] E. Martínez-Balibrea,et al. Resistant mechanisms to BRAF inhibitors in melanoma. , 2016, Annals of translational medicine.
[6] S. Anand,et al. Ras pathway inhibition prevents neovascularization by repressing endothelial cell sprouting. , 2013, The Journal of clinical investigation.
[7] Giulia Russo,et al. Computational modeling of the expansion of human cord blood CD133+ hematopoietic stem/progenitor cells with different cytokine combinations , 2015, Bioinform..
[8] Salvatore Cavalieri,et al. A methodological approach for using high-level Petri Nets to model the immune system response , 2016, BMC Bioinformatics.
[9] MengChu Zhou,et al. Liveness Enforcing Supervision of Video Streaming Systems Using Nonsequential Petri Nets , 2009, IEEE Transactions on Multimedia.
[10] A. Bosserhoff,et al. The role of microRNAs in melanoma. , 2014, European journal of cell biology.
[11] Y. Kawamoto,et al. RAS/RAF/MEK/ERK and PI3K/PTEN/AKT Signaling in Malignant Melanoma Progression and Therapy , 2011, Dermatology research and practice.
[12] C. Mathers,et al. Cancer incidence and mortality worldwide: Sources, methods and major patterns in GLOBOCAN 2012 , 2015, International journal of cancer.
[13] Wolfgang Reisig,et al. Modeling in Systems Biology, The Petri Net Approach , 2010, Computational Biology.
[14] J. Beebe-Dimmer,et al. The cancer burden attributable to biologic agents. , 2015, Annals of epidemiology.
[15] Francesco Pappalardo,et al. Computational Modeling of PI3K/AKT and MAPK Signaling Pathways in Melanoma Cancer , 2016, PloS one.
[16] A. Lallas,et al. Dabrafenib: a new opportunity for the treatment of BRAF V600-positive melanoma , 2016, OncoTargets and therapy.
[17] Antonio L Amelio,et al. Comprehensive Molecular Characterization of Pheochromocytoma and Paraganglioma. , 2017, Cancer cell.
[18] Martyn Amos,et al. SimZombie: A Case-Study in Agent-Based Simulation Construction , 2011, KES-AMSTA.
[19] F. Pappalardo,et al. Analysis of vaccine's schedules using models. , 2006, Cellular immunology.
[20] Lin Wang,et al. Targeting a novel cancer-driving protein (LAPTM4B-35) by a small molecule (ETS) to inhibit cancer growth and metastasis , 2016, Oncotarget.
[21] E. Van Cutsem,et al. Cetuximab plus irinotecan, fluorouracil, and leucovorin as first-line treatment for metastatic colorectal cancer: updated analysis of overall survival according to tumor KRAS and BRAF mutation status. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.
[22] Grzegorz Rozenberg,et al. High-level Petri Nets: Theory And Application , 1991 .
[23] Susumu Goto,et al. The KEGG resource for deciphering the genome , 2004, Nucleic Acids Res..
[24] F. McCormick,et al. ETS-targeted therapy: can it substitute for MEK inhibitors? , 2017, Clinical and Translational Medicine.
[25] Monika Heiner,et al. Snoopy - a unifying Petri net framework to investigate biomolecular networks , 2010, Bioinform..
[26] Sean R. Davis,et al. NCBI GEO: archive for functional genomics data sets—update , 2012, Nucleic Acids Res..
[27] Magnus Bosse,et al. Regulation of Raf-Akt Cross-talk , 2002, The Journal of Biological Chemistry.
[28] Armando Reyes-Palomares,et al. First steps in computational systems biology: A practical session in metabolic modeling and simulation , 2009, Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology.
[29] De-Shuang Huang,et al. Mining the bladder cancer-associated genes by an integrated strategy for the construction and analysis of differential co-expression networks , 2015, BMC Genomics.
[30] A. Shaw,et al. Resisting Resistance: Targeted Therapies in Lung Cancer. , 2016, Trends in cancer.
[31] Ferdinando Chiacchio,et al. Mathematical modeling of the immune system recognition to mammary carcinoma antigen , 2012, BMC Bioinformatics.
[32] Ling Dong,et al. Clinical Next Generation Sequencing for Precision Medicine in Cancer , 2015, Current genomics.
[33] De-Shuang Huang,et al. Predicting Hub Genes Associated with Cervical Cancer through Gene Co-Expression Networks , 2016, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[34] S. Majid,et al. MicroRNA‐mediated regulation of melanoma , 2014, The British journal of dermatology.
[35] C. Bracken,et al. Experimental strategies for microRNA target identification , 2011, Nucleic acids research.
[36] Lei Zhang,et al. Prediction of protein-protein interactions based on protein-protein correlation using least squares regression. , 2014, Current protein & peptide science.
[37] J. Ferlay,et al. An assessment of GLOBOCAN methods for deriving national estimates of cancer incidence , 2016, Bulletin of the World Health Organization.