43 research outputs found
The Heart Protective Role of Pre-conditioning and Exercise Training before and after a Myocardial Infarction
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SBML Level 3: an extensible format for the exchange and reuse of biological models
Abstract Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review the latest edition of the Systems Biology Markup Language (SBML), a format designed for this purpose. A community of modelers and software authors developed SBML Level 3 over the past decade. Its modular form consists of a core suited to representing reaction‐based models and packages that extend the core with features suited to other model types including constraint‐based models, reaction‐diffusion models, logical network models, and rule‐based models. The format leverages two decades of SBML and a rich software ecosystem that transformed how systems biologists build and interact with models. More recently, the rise of multiscale models of whole cells and organs, and new data sources such as single‐cell measurements and live imaging, has precipitated new ways of integrating data with models. We provide our perspectives on the challenges presented by these developments and how SBML Level 3 provides the foundation needed to support this evolution
SBML Level 3: an extensible format for the exchange and reuse of biological models
Systems biology has experienced dramatic growth in the number, size, and complexity of computational models. To reproduce simulation results and reuse models, researchers must exchange unambiguous model descriptions. We review the latest edition of the Systems Biology Markup Language (SBML), a format designed for this purpose. A community of modelers and software authors developed SBML Level 3 over the past decade. Its modular form consists of a core suited to representing reaction-based models and packages that extend the core with features suited to other model types including constraint-based models, reaction-diffusion models, logical network models, and rule-based models. The format leverages two decades of SBML and a rich software ecosystem that transformed how systems biologists build and interact with models. More recently, the rise of multiscale models of whole cells and organs, and new data sources such as single-cell measurements and live imaging, has precipitated new ways of integrating data with models. We provide our perspectives on the challenges presented by these developments and how SBML Level 3 provides the foundation needed to support this evolution.journal articl
Additional file 3: of Cancer-testis antigen cyclin A1 is broadly expressed in ovarian cancer and is associated with prolonged time to tumor progression after platinum-based therapy
Figure S1. Survival plot depicting the impact of Cyclin A1 expression (Affymetrix probe set 205899_at) on progression-free survival in the patient group with suboptimal debulking and platinum-based therapy using an online-accessible tool ( www.kmplot.com/ ), database version 2015 [n = 1648]. Case selection [n = 264]: survival: PFS, split patients by median; restrictions: FIGO II, III, IV; histology: serous; debulk: suboptimal; chemotherapy: contains platinum. Log-rank p = 0.0088. (PPTX 84 kb
Additional file 1: Table S1. of Comparison of targeted next-generation sequencing and Sanger sequencing for the detection of PIK3CA mutations in breast cancer
Genomic positions and the primer sequences. (XLS 45Â kb
Supplementary Table S1-S2 from ABCC2 (MRP2, cMOAT) Can Be Localized in the Nuclear Membrane of Ovarian Carcinomas and Correlates with Resistance to Cisplatin and Clinical Outcome
Supplementary Table S1-S2 from ABCC2 (MRP2, cMOAT) Can Be Localized in the Nuclear Membrane of Ovarian Carcinomas and Correlates with Resistance to Cisplatin and Clinical Outcom
