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Combining biological networks to predict genetic interactions.

Combining biological networks to predict genetic interactions.

http://www.wikidata.org/entity/Q37595523

about

Epistasis--the essential role of gene interactions in the structure and evolution of genetic systems Comprehensive curation and analysis of global interaction networks in Saccharomyces cerevisiae Protein-protein interactions in the mammalian brain Commensurate distances and similar motifs in genetic congruence and protein interaction networks in yeast Motifs, themes and thematic maps of an integrated Saccharomyces cerevisiae interaction network A road map of yeast interactions Untangling the web of functional and physical interactions in yeast Genetic Interaction Motif Finding by expectation maximization--a novel statistical model for inferring gene modules from synthetic lethality.Pattern recognition in bioinformatics Genetic interaction networks: better understand to better predict Prediction of Genetic Interactions Using Machine Learning and Network Properties PhosphoGRID: a database of experimentally verified in vivo protein phosphorylation sites from the budding yeast Saccharomyces cerevisiae Simultaneous genome-wide inference of physical, genetic, regulatory, and functional pathway components Searching for synergies: matrix algebraic approaches for efficient pair screening Predicting human genetic interactions from cancer genome evolution A novel role for transcription factor Lmo4 in thymus development through genetic interaction with Cited2 Deciphering Protein–Protein Interactions. Part II. Computational Methods to Predict Protein and Domain Interaction Partners An integrated approach to characterize genetic interaction networks in yeast metabolism.Modular biological function is most effectively captured by combining molecular interaction data types Data Imputation in Epistatic MAPs by Network-Guided Matrix Completion Scalable steady state analysis of Boolean biological regulatory networks.Assessing the limits of genomic data integration for predicting protein networks.Identifying metabolic enzymes with multiple types of association evidence.QPath: a method for querying pathways in a protein-protein interaction network.Integrated assessment and prediction of transcription factor binding.IntNetDB v1.0: an integrated protein-protein interaction network database generated by a probabilistic model.Prediction of gene expression in embryonic structures of Drosophila melanogaster.Inferring cellular networks--a review.Predicting quantitative genetic interactions by means of sequential matrix approximation Combination chemical genetics Buffering by gene duplicates: an analysis of molecular correlates and evolutionary conservation.Predicting genetic interactions with random walks on biological networks.Disease candidate gene identification and prioritization using protein interaction networks Biological process linkage networks Gene networks in Drosophila melanogaster: integrating experimental data to predict gene function Aging mice show a decreasing correlation of gene expression within genetic modules Inference of RhoGAP/GTPase regulation using single-cell morphological data from a combinatorial RNAi screen.Missing value imputation for epistatic MAPs.A semi-supervised learning approach to predict synthetic genetic interactions by combining functional and topological properties of functional gene network.High-resolution network biology: connecting sequence with function.

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Combining biological networks to predict genetic interactions.

http://www.wikidata.org/entity/Q37595523

description

article científic

@ca

article scientifique

@fr

articolo scientifico

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artigo científico

@pt

bilimsel makale

@tr

scientific article published on 20 October 2004

@en

vedecký článok

@sk

vetenskaplig artikel

@sv

videnskabelig artikel

@da

vědecký článek

@cs

name

Combining biological networks to predict genetic interactions.

@en

Combining biological networks to predict genetic interactions.

@nl

type

label

Combining biological networks to predict genetic interactions.

@en

Combining biological networks to predict genetic interactions.

@nl

prefLabel

Combining biological networks to predict genetic interactions.

@en

Combining biological networks to predict genetic interactions.

@nl

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PNAS.0406614101

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Proceedings of the National Academy of Sciences of the United States of America

P1476

Combining biological networks to predict genetic interactions.

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P2093

Amy H Y Tong

http://www.w3.org/2001/XMLSchema#string

Brenda Andrews

http://www.w3.org/2001/XMLSchema#string

Charles Boone

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Debra S Goldberg

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Guillaume Lesage

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Howard Bussey

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Lan V Zhang

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Marc Vidal

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Oliver D King

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Sharyl L Wong

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P2860

An automated method for finding molecular complexes in large protein interaction networks

Functional organization of the yeast proteome by systematic analysis of protein complexes

Gapped BLAST and PSI-BLAST: a new generation of protein database search programs

YPD, PombePD and WormPD: model organism volumes of the BioKnowledge library, an integrated resource for protein information

The Escherichia coli MG1655 in silico metabolic genotype: its definition, characteristics, and capabilities

The use of gene clusters to infer functional coupling

A functional genomic analysis of cell morphology using RNA interference

A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae

Systematic functional analysis of the Caenorhabditis elegans genome using RNAi

Transcriptional regulatory networks in Saccharomyces cerevisiae

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15682-15687

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scholarly article

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10.1073/PNAS.0406614101

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44

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101

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Frederick P. Roth

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2004-10-20T00:00:00Z

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8221589

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15496468

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