Shadows of complexity: what biological networks reveal about epistasis and pleiotropy.
about
Interactomic and pharmacological insights on human sirt-1Diverse convergent evidence in the genetic analysis of complex disease: coordinating omic, informatic, and experimental evidence to better identify and validate risk factorsUnexploited Antineoplastic Effects of Commercially Available Anti-Diabetic DrugsSystems analysis of high-throughput dataEpithelial cancers in the post-genomic era: should we reconsider our lifestyle?Disrupting the networks of cancerClustering of High Throughput Gene Expression DataEvolving hard problems: Generating human genetics datasets with a complex etiologyMissing heritability and strategies for finding the underlying causes of complex diseasePower of multifactor dimensionality reduction and penalized logistic regression for detecting gene-gene interaction in a case-control study.Knowledge-driven multi-locus analysis reveals gene-gene interactions influencing HDL cholesterol level in two independent EMR-linked biobanks.A developmental systems perspective on epistasis: computational exploration of mutational interactions in model developmental regulatory networks.Multi-tissue omics analyses reveal molecular regulatory networks for puberty in composite beef cattlePathways of distinction analysis: a new technique for multi-SNP analysis of GWAS data.Characterizing genetic interactions in human disease association studies using statistical epistasis networksInferring pleiotropy by network analysis: linked diseases in the human PPI network.Genomic patterns of pleiotropy and the evolution of complexityMaking the right connections: biological networks in the light of evolutionThe many faces of pleiotropy.Canonical correlation analysis for gene-based pleiotropy discoveryProgress and promise of genome-wide association studies for human complex trait geneticsBridging HIV-1 cellular latency and clinical long-term non-progressor: an interactomic viewMolecular network analysis enhances understanding of the biology of mental disorders.PRIMe: a method for characterization and evaluation of pleiotropic regions from multiple genome-wide association studies.Comparative functional pan-genome analyses to build connections between genomic dynamics and phenotypic evolution in polycyclic aromatic hydrocarbon metabolism in the genus MycobacteriumMultivariate analysis of regulatory SNPs: empowering personal genomics by considering cis-epistasis and heterogeneityEvolutionary constraints to viroid evolution.Genetic view on the phenomenon of combined diseases in man.Uric Acid and Cardiovascular Events: A Mendelian Randomization Study.Inter-chromosomal level of genome organization and longevity-related phenotypes in humansMolecular genetic approaches to understanding the comorbidity of psychiatric disorders.Epistasis and its implications for personal genetics.Using the bipartite human phenotype network to reveal pleiotropy and epistasis beyond the gene.Complex Patterns of Association between Pleiotropy and Transcription Factor Evolution.Predicting complex phenotype-genotype interactions to enable yeast engineering: Saccharomyces cerevisiae as a model organism and a cell factory.Genetic regulatory network motifs constrain adaptation through curvature in the landscape of mutational (co)variance.Layers of epistasis: genome-wide regulatory networks and network approaches to genome-wide association studies.The sociobiology of molecular systems.The pleiotropic structure of the genotype-phenotype map: the evolvability of complex organisms.Revisiting the evolution of ecological specialization, with emphasis on insect-plant interactions.
P2860
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P2860
Shadows of complexity: what biological networks reveal about epistasis and pleiotropy.
description
2009 nî lūn-bûn
@nan
2009 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Shadows of complexity: what biological networks reveal about epistasis and pleiotropy.
@ast
Shadows of complexity: what biological networks reveal about epistasis and pleiotropy.
@en
type
label
Shadows of complexity: what biological networks reveal about epistasis and pleiotropy.
@ast
Shadows of complexity: what biological networks reveal about epistasis and pleiotropy.
@en
prefLabel
Shadows of complexity: what biological networks reveal about epistasis and pleiotropy.
@ast
Shadows of complexity: what biological networks reveal about epistasis and pleiotropy.
@en
P2860
P356
P1433
P1476
Shadows of complexity: what biological networks reveal about epistasis and pleiotropy.
@en
P2093
Anna L Tyler
Scott M Williams
P2860
P304
P356
10.1002/BIES.200800022
P407
P577
2009-02-01T00:00:00Z