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2009-07-28
相关数据集
Additional file 1 of GNE: a deep learning framework for gene network inference by aggregating biological information
Table S1. Includes yeast gene pairs predicted by GNE with probabilities of 0.5 or higher. (XLSX 109 kb)
Figshare2024-02-08 更新100
Correlation coefficients (ρ) and P values of E-Fmin and other methods in predicting exchange fluxes and growth rate in Saccharomyces cerevisiae with different uptake fluxes for glucose.
FBA, flux balance analysis; GIMME, Gene Inactivity Moderated by Metabolism and Expression; iMAT, integrative metabolic analysis tool. Correlation coefficients (ρ) and P values of E-Fmin and other meth
NIAID Data Ecosystem50
Systematic identification of changes in the yeast protein interaction network in response to environmental, chemical, and genetic perturbation. Systematic identification of changes in the yeast protein interaction network in response to environmental, chemical, and genetic perturbation
This SuperSeries is composed of the SubSeries listed below. Overall design: Refer to individual Series
NIAID Data Ecosystem20
Growth control of the eukaryote cell: a systems biology study in yeast
Metabolic control analysis is being exploited in a systems biology study of the eukaryotic cell. Using chemostat culture, we have measured the impact of changes in flux (growth rate) on the transcript
NIAID Data Ecosystem30
