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GenomicsGene Regulatory Network Inference in Haloferax volcanii
Gene Regulatory Network Inference in Haloferax volcanii
PRJNA1494427 | ENA
TranscriptomicsNetwork inference tools for the human transcriptome
This SuperSeries is composed of the following subset Series: GSE27869: Gene expression profiles of 400 siRNA knocked down on HUVEC GSE27870: The effect of TNFa on endothelial cells Refer to individual Series
ORGANISM(S): Homo sapiens 
2011-11-29 | E-GEOD-27871 | biostudies-arrayexpress
GenomicsCausal network inference from gene transcriptional time-series response to glucocorticoids [A549_dedex]
Causal network inference from gene transcriptional time-series response to glucocorticoids [A549_dedex]
PRJNA604521 | ENA
GenomicsCausal network inference from gene transcriptional time-series response to glucocorticoids [A549_OE]
Causal network inference from gene transcriptional time-series response to glucocorticoids [A549_OE]
PRJNA604522 | ENA
GenomicsSpecies-specific transcriptomic network inference of interspecies interactions
Species-specific transcriptomic network inference of interspecies interactions
PRJNA450096 | ENA
GenomicsAddressing the multiple facets of ligand-receptor network inference
Addressing the multiple facets of ligand-receptor network inference
PRJNA1336729 | ENA
GenomicsLASSIM -a network inference toolbox for genome-wide mechanistic modeling
LASSIM -a network inference toolbox for genome-wide mechanistic modeling
PRJNA259237 | ENA
TranscriptomicsInferring the stress-activated signaling network in yeast through multi-omic data integration
Transcriptome profiling of yeast mutant strains responding to 0.7M NaCl treatment for 30 minutes. This study identified affected genes in each mutant and used it to computationally infer the complete NaCl-activated signaling network in yeast. Two-color fluorescence arrays reporting on mRNA abundanc...
ORGANISM(S): Saccharomyces cerevisiae 
2014-12-03 | E-GEOD-51844 | biostudies-arrayexpress
TranscriptomicsTranscription profiling of human 48 clinical breast cancer arrays to perform statistical identification of gene association by CID in application of constructing ER regulatory network
A variety of high-throughput techniques are now available for constructing comprehensive gene regulatory networks in systems biology. In this study, we report a new statistical approach for facilitating in silico inference of regulatory network structure. The new measure of association, coefficient ...
ORGANISM(S): Homo sapiens 
2009-07-19 | E-GEOD-17041 | biostudies-arrayexpress
TranscriptomicsCausal network inference from gene transcriptional time-series response to glucocorticoids [A549_dedex]
Gene regulatory network inference is essential to uncover complex relationships among gene pathways and inform downstream experiments, ultimately enabling regulatory network re-engineering. Network inference from transcriptional time-series data requires accurate, interpretable, and efficient determ...
ORGANISM(S): Homo sapiens 
2021-02-22 | GSE144662 | GEO
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