Showing 4 open source projects for "essential-static"

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    SPINA

    SPINA

    Structure parameter inference approach for endocrine feedback control

    ...A second version has been established for insulin-glucose homeostasis. It delivers the secretory capacity of pancreatic beta cells (SPINA-GBeta), an estimate for the insulin receptor amplification (SPINA-GR) and a static disposition index as a measure for the loop gain of the feedback loop (SPINA-DI). Both implementations of SPINA have been validated in more than 50 clinical studies based on large cohorts.
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    Downloads: 2 This Week
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  • 2
    MVSE

    MVSE

    Estimator of climate-driven, mosquito-borne viral suitability index

    Understanding how climate dictates the timing and potential of mosquito-borne viral transmission is essential for preparedness of public health systems and design of control strategies. We developed the Mosquito-borne Viral Suitability Estimator (MVSE) software package for the R programming environment. The package estimates a suitability index based on a climate-driven mathematical expression for the basic reproductive number (R0). By accounting for local climatic variables, as well as viral, vector and human priors, suitability can be estimated for specific regions, hosts, vectors and viral species. ...
    Downloads: 0 This Week
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  • 3
    hSDM

    hSDM

    R package for hierarchical species distribution models

    ...Such models allows interpreting the observations (occurrence and abundance of a species) as a result of several hierarchical processes including ecological processes (habitat suitability, spatial dependence and anthropogenic disturbance) and observation processes (species detectability). Hierarchical species distribution models are essential for accurately characterizing the environmental response of species, predicting their probability of occurrence, and assessing uncertainty in the model results.
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  • 4

    DESN

    Differential activE sub-Network (DEN): R/Bioconductor based package

    ...Complexity of cellular systems is highlighted with the multi-layered regulatory mechanisms involving the interactions between bio-molecules (such as DNA, RNA, mi-RNA and proteins). These interactions are analyzed in the form of static networks. Likewise, number of experimental techniques like microarray, RNASeq allows quantification of cellular dynamics and aid in discerning differential gene expression across diverse conditions. Computational biology is in need of methods for integration of static networks and gene expression data, since it provides interesting insights into the dynamics of biological systems. ...
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