Wrestling with pleiotropy: genomic and topological analysis of the yeast gene expression network.
about
Towards a unifying, systems biology understanding of large-scale cellular death and destruction caused by poorly liganded iron: Parkinson's, Huntington's, Alzheimer's, prions, bactericides, chemical toxicology and others as examplesDNA microarray data and contextual analysis of correlation graphsEvolutionary capacitance as a general feature of complex gene networksIron behaving badly: inappropriate iron chelation as a major contributor to the aetiology of vascular and other progressive inflammatory and degenerative diseasesBiological robustness: paradigms, mechanisms, and systems principlesApplications of genome-scale metabolic reconstructions.Coexpression analysis of human genes across many microarray data setsCo-expression network-based analysis of hippocampal expression data associated with Alzheimer's disease using a novel algorithm.Genome-scale transcriptional analyses of first-generation interspecific sunflower hybrids reveals broad regulatory compatibilityInformation theoretic approaches for inference of biological networks from continuous-valued dataConnectivity can be used to identify key genes in DNA microarray data: a study based on gene expression in nasal polyps before and after treatment with glucocorticoids.Gene connectivity, function, and sequence conservation: predictions from modular yeast co-expression networks.Integrating genetic and network analysis to characterize genes related to mouse weight.Effect of random and hub gene disruptions on environmental and mutational robustness in Escherichia coli.Functional genomics via metabolic footprinting: monitoring metabolite secretion by Escherichia coli tryptophan metabolism mutants using FT-IR and direct injection electrospray mass spectrometry.Genetic and systems level analysis of Drosophila sticky/citron kinase and dFmr1 mutants reveals common regulation of genetic networks.The Drosophila foraging gene mediates adult plasticity and gene-environment interactions in behaviour, metabolites, and gene expression in response to food deprivation.Epistatic Networks Jointly Influence Phenotypes Related to Metabolic Disease and Gene Expression in Diversity Outbred Mice.Inferring pleiotropy by network analysis: linked diseases in the human PPI network.One hundred years of pleiotropy: a retrospectiveMetabolic footprinting and systems biology: the medium is the message.Defense traits of larval Drosophila melanogaster exhibit genetically based trade-offs against different species of parasitoids.Molecular network analysis enhances understanding of the biology of mental disorders.A sigmoidal transcriptional response: cooperativity, synergy and dosage effects.Shadows of complexity: what biological networks reveal about epistasis and pleiotropy.Systems genetics analysis of mouse chondrocyte differentiation.Making sense of transcription networksImplications of gene networks for understanding resilience and vulnerability in the kidney branching program.Genetic variation in the Yolk protein expression network of Drosophila melanogaster: sex-biased negative correlations with longevityWhat can microbial genetics teach sociobiology?Approaches for extracting practical information from gene co-expression networks in plant biology.Learning about gene regulatory networks from gene deletion experimentsGenome clashes in hybrids: insights from gene expression.Boolean implication networks derived from large scale, whole genome microarray datasets.Using the bipartite human phenotype network to reveal pleiotropy and epistasis beyond the gene.Studying protein-protein interaction networks: a systems view on diseases.Synthetic biology for the directed evolution of protein biocatalysts: navigating sequence space intelligently.Genetic properties influencing the evolvability of gene expression.Using scale and feather traits for module construction provides a functional approach to chicken epidermal development.The detection and characterization of pleiotropy: discovery, progress, and promise.
P2860
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P2860
Wrestling with pleiotropy: genomic and topological analysis of the yeast gene expression network.
description
2002 nî lūn-bûn
@nan
2002年の論文
@ja
2002年学术文章
@wuu
2002年学术文章
@zh-cn
2002年学术文章
@zh-hans
2002年学术文章
@zh-my
2002年学术文章
@zh-sg
2002年學術文章
@yue
2002年學術文章
@zh
2002年學術文章
@zh-hant
name
Wrestling with pleiotropy: gen ...... yeast gene expression network.
@en
Wrestling with pleiotropy: gen ...... yeast gene expression network.
@nl
type
label
Wrestling with pleiotropy: gen ...... yeast gene expression network.
@en
Wrestling with pleiotropy: gen ...... yeast gene expression network.
@nl
prefLabel
Wrestling with pleiotropy: gen ...... yeast gene expression network.
@en
Wrestling with pleiotropy: gen ...... yeast gene expression network.
@nl
P2860
P356
P1433
P1476
Wrestling with pleiotropy: gen ...... yeast gene expression network.
@en
P2093
David E Featherstone
Kendal Broadie
P2860
P304
P356
10.1002/BIES.10054
P407
P577
2002-03-01T00:00:00Z