From E-MAPs to module maps: dissecting quantitative genetic interactions using physical interactions.
about
Integrative approaches for finding modular structure in biological networksGenetic interaction networks: better understand to better predictA plasma-membrane E-MAP reveals links of the eisosome with sphingolipid metabolism and endosomal traffickingData Imputation in Epistatic MAPs by Network-Guided Matrix CompletionRevealing and avoiding bias in semantic similarity scores for protein pairs.Predicting quantitative genetic interactions by means of sequential matrix approximationBridging high-throughput genetic and transcriptional data reveals cellular responses to alpha-synuclein toxicity.Bayesian Markov Random Field analysis for protein function prediction based on network dataMissing value imputation for epistatic MAPs.Toward the dynamic interactome: it's about time.Genome-wide scoring of positive and negative epistasis through decomposition of quantitative genetic interaction fitness matricesProtein complexes are central in the yeast genetic landscape.Quantitative maps of genetic interactions in yeast - comparative evaluation and integrative analysisModularity and directionality in genetic interaction maps.Improved functional overview of protein complexes using inferred epistatic relationships.Distinct configurations of protein complexes and biochemical pathways revealed by epistatic interaction network motifs.Inferring mechanisms of compensation from E-MAP and SGA data using local search algorithms for max cut.A decade of systems biologyA pipeline for determining protein-protein interactions and proximities in the cellular milieuGenecentric: a package to uncover graph-theoretic structure in high-throughput epistasis dataLink clustering reveals structural characteristics and biological contexts in signed molecular networksSite-specific acetylation mark on an essential chromatin-remodeling complex promotes resistance to replication stress.Quantitative genome-wide genetic interaction screens reveal global epistatic relationships of protein complexes in Escherichia coliPutting genetic interactions in context through a global modular decompositionEvolved hexose transporter enhances xylose uptake and glucose/xylose co-utilization in Saccharomyces cerevisiae.Translation of Genotype to Phenotype by a Hierarchy of Cell SubsystemsSystematic identification and correction of annotation errors in the genetic interaction map of Saccharomyces cerevisiae.History of protein-protein interactions: from egg-white to complex networks.Spatiotemporal positioning of multipotent modules in diverse biological networks.Constructing module maps for integrated analysis of heterogeneous biological networks.A genetic network that suppresses genome rearrangements in Saccharomyces cerevisiae and contains defects in cancers.Detection of composite communities in multiplex biological networksFinding friends and enemies in an enemies-only network: a graph diffusion kernel for predicting novel genetic interactions and co-complex membership from yeast genetic interactions.Towards accurate imputation of quantitative genetic interactionsQuantitative genetic interactions reveal biological modularity.Automatic parameter learning for multiple local network alignment.Genetics. The DNA damage road map.QTL Alignment for Seed Yield and Yield Related Traits in
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P2860
From E-MAPs to module maps: dissecting quantitative genetic interactions using physical interactions.
description
2008 nî lūn-bûn
@nan
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
2008年论文
@zh
2008年论文
@zh-cn
name
From E-MAPs to module maps: di ...... s using physical interactions.
@en
From E-MAPs to module maps: di ...... s using physical interactions.
@nl
type
label
From E-MAPs to module maps: di ...... s using physical interactions.
@en
From E-MAPs to module maps: di ...... s using physical interactions.
@nl
prefLabel
From E-MAPs to module maps: di ...... s using physical interactions.
@en
From E-MAPs to module maps: di ...... s using physical interactions.
@nl
P2093
P2860
P356
P1476
From E-MAPs to module maps: di ...... s using physical interactions.
@en
P2093
Martin Kupiec
Ron Shamir
Tomer Shlomi
P2860
P356
10.1038/MSB.2008.42
P50
P577
2008-07-15T00:00:00Z