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Genetic evaluation of growth traits in Nellore cattle through multi-trait and random regression models
body weight genetic parameters growth curves
2018/11/23
We aimed to evaluate different orders of fixed and random effects in random regression models (RRM) based on Legendre orthogonal polynomials as well as to verify the feasibility of these models to des...
Complex Systems Analysis of Arrested Neural Cell Differentiation during Development and Analogous Cell Cycling Models in Carcinogenesis
Cell cycling control of cell division and the neoplastic transformation in carcinogenesis essential roles of high c-Myc p27 Inhibition p53 inactivation and hTERT activation of Telomerase biosynthesis in Malignant Cell Transformation Rational Clinical trials Individualized Medicine and potential for optimized Radio-Chemo- Gene- and Immuno- therapies of Cancers Ł ukasiewicz models of Genetic Networks Genome and cell interactomics models in terms of categories of Ł ukasiewicz logic Algebras and Lukasiewicz Topos Ł ukasiewicz Topos with an n-valued Ł ukasiewicz Algebraic Logic subobject classifier genetic network transformations in Carcinogenesis developmental processes and Evolution/ Evolutionary Biology Relational Biology of Archea yeast and higher eukaryotic organisms nonlinear dynamics in non-random hierarchic genetic networks proteomics coupled genomes via signaling pathways mechanisms of neoplastic transformations of cells and topological grupoid models of genetic networks in cancer cells natural transformations of organismic structures in Molecular Biology
2015/7/30
A new approach to the modular, complex systems analysis of nonlinear dynamics of arrested neural cell Differentiation--induced cell proliferation during organismic development and the analogous cell c...
Rice program models more detailed evolutionary networks from genetic data（图）
detailed evolutionary genetic data
2014/12/1
HOUSTON – (Nov. 12, 2014) – The tree has been an effective model of evolution for 150 years, but a Rice University computer scientist believes it’s far too simple to illustrate the breadth of current ...
Quantitative Genetics and Functional-Structural Plant Growth Models: Simulation of Quantitative Trait Loci Detection for Model Parameters and Application to Potential Yield Optimization
Quantitative Genetics Functional-Structural Plant Growth Models Simulation Quantitative Trait Loci Detection Model Parameters Application Potential Yield Optimization
2010/11/16
Background and Aims: Prediction of phenotypic traits from new genotypes under untested environmental conditions is crucial to build simulations of breeding strategies to improve target traits. Althou...