Exploiting the determinants of stochastic gene expression in Saccharomyces cerevisiae for genome-wide prediction of expression noise
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Protein stickiness, rather than number of functional protein-protein interactions, predicts expression noise and plasticity in yeastLocal statistics allow quantification of cell-to-cell variability from high-throughput microscope images.Genetic architecture of growth traits revealed by global epistatic interactionsUnderstanding transcriptional regulation by integrative analysis of transcription factor binding data.Integration of pathway structure information into a reweighted partial Cox regression approach for survival analysis on high-dimensional gene expression data.Topologically inferring pathway activity toward precise cancer classification via integrating genomic and metabolomic data: prostate cancer as a case.Gene expression variability within and between human populations and implications toward disease susceptibility.The complexity of gene expression dynamics revealed by permutation entropy.Teasing apart translational and transcriptional components of stochastic variations in eukaryotic gene expression.Phenotypic heterogeneity is a selected trait in natural yeast populations subject to environmental stress.Age-correlated stress resistance improves fitness of yeast: support from agent-based simulations.Stochastic developmental variation, an epigenetic source of phenotypic diversity with far-reaching biological consequences.Investigation of coordination and order in transcription regulation of innate and adaptive immunity genes in type 1 diabetes.Genetic variants contribute to gene expression variability in humansDominance from the perspective of gene-gene and gene-chemical interactionsDeterminants of expression variability.Integrating personalized gene expression profiles into predictive disease-associated gene poolsStructural and functional organization of RNA regulons in the post-transcriptional regulatory network of yeast.Lack of 14-3-3 proteins in Saccharomyces cerevisiae results in cell-to-cell heterogeneity in the expression of Pho4-regulated genes SPL2 and PHO84.Gene expression variations are predictive for stochastic noise.Did the modulation of expression noise shape the evolution of three dimensional genome organizations in eukaryotes?Polyploidy as a chromosomal component of stochastic noise: variable scalar multiples of the diploid chromosome complement in the invertebrate species Girardia schubarti from Brazil.The Evolution of Gene-Specific Transcriptional Noise Is Driven by Selection at the Pathway Level.
P2860
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P2860
Exploiting the determinants of stochastic gene expression in Saccharomyces cerevisiae for genome-wide prediction of expression noise
description
2010 nî lūn-bûn
@nan
2010 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Exploiting the determinants of ...... prediction of expression noise
@ast
Exploiting the determinants of ...... prediction of expression noise
@en
type
label
Exploiting the determinants of ...... prediction of expression noise
@ast
Exploiting the determinants of ...... prediction of expression noise
@en
prefLabel
Exploiting the determinants of ...... prediction of expression noise
@ast
Exploiting the determinants of ...... prediction of expression noise
@en
P2093
P2860
P356
P1476
Exploiting the determinants of ...... prediction of expression noise
@en
P2093
Franco J Vizeacoumar
Jingjing Li
Renqiang Min
Zhaolei Zhang
P2860
P304
10472-10477
P356
10.1073/PNAS.0914302107
P407
P50
P577
2010-05-20T00:00:00Z