<p><b> and </b><b>.</b> To assess the effect of changes of model parameters and , both parameters were varied individually and together by up to percent. Network reconstruction was restarted for each combination of values for and , and average AUC values were computed for the reconstructed networks in comparison to the STRING network. The figure shows the resulting AUC values over , indicating that results are relatively insensitive over a wide range of parameter values.</p
A current challenge is to develop computational approaches to infer gene network regulatory relation...
• Infer linear “gene-to-gene ” networks from “extended Spellman ” data (yeast cell-cycles) of expres...
A current challenge is to develop computational approaches to infer gene network regulatory relation...
<p>Overview of all hub identification results on the simulated and biological datasets. Hub AUCs wer...
Abstract — In this paper we suggest a method to reconstruct the gene interaction network of the cell...
<p>Overview of all results on the simulated and biological datasets, using the approach presented in...
ABSTRACT: The Chen et al. (Mol Biol Cell 2000, 11, 369–391) budding yeast cell cycle model is a bioc...
A current challenge is to develop computational approaches to infer gene network regulatory relation...
Introduction: The cell cycle network is responsible of control, growth and proliferation of cells. T...
A current challenge is to develop computational approaches to infer gene network regulatory relation...
A current challenge is to develop computational approaches to infer gene network regulatory relation...
Among these 23 kinetic parameters, sensitivity matrices of 18 model parameters are plotted to reflec...
Gene regulatory networks underlie all key processes that enable a cell to maintain long-term homeost...
Due to the limitations of available gene expression data, (i.e. noise and size of time series), mode...
Due to the limitations of available gene expression data, (i.e. noise and size of time series), mode...
A current challenge is to develop computational approaches to infer gene network regulatory relation...
• Infer linear “gene-to-gene ” networks from “extended Spellman ” data (yeast cell-cycles) of expres...
A current challenge is to develop computational approaches to infer gene network regulatory relation...
<p>Overview of all hub identification results on the simulated and biological datasets. Hub AUCs wer...
Abstract — In this paper we suggest a method to reconstruct the gene interaction network of the cell...
<p>Overview of all results on the simulated and biological datasets, using the approach presented in...
ABSTRACT: The Chen et al. (Mol Biol Cell 2000, 11, 369–391) budding yeast cell cycle model is a bioc...
A current challenge is to develop computational approaches to infer gene network regulatory relation...
Introduction: The cell cycle network is responsible of control, growth and proliferation of cells. T...
A current challenge is to develop computational approaches to infer gene network regulatory relation...
A current challenge is to develop computational approaches to infer gene network regulatory relation...
Among these 23 kinetic parameters, sensitivity matrices of 18 model parameters are plotted to reflec...
Gene regulatory networks underlie all key processes that enable a cell to maintain long-term homeost...
Due to the limitations of available gene expression data, (i.e. noise and size of time series), mode...
Due to the limitations of available gene expression data, (i.e. noise and size of time series), mode...
A current challenge is to develop computational approaches to infer gene network regulatory relation...
• Infer linear “gene-to-gene ” networks from “extended Spellman ” data (yeast cell-cycles) of expres...
A current challenge is to develop computational approaches to infer gene network regulatory relation...