Gene expression network reconstruction by convex feature selection when incorporating genetic perturbations.
about
Making the most of "omics" for symbiosis researchStatistical Methods in Integrative GenomicsCausal inference of gene regulation with subnetwork assembly from genetical genomics data.Bayesian network reconstruction using systems genetics data: comparison of MCMC methodsMouse obesity network reconstruction with a variational Bayes algorithm to employ aggressive false positive controlTowards a molecular systems model of coronary artery diseaseAn independent component analysis confounding factor correction framework for identifying broad impact expression quantitative trait lociInference of gene regulatory networks with sparse structural equation models exploiting genetic perturbations.Inference of gene regulatory networks from genetic perturbations with linear regression model.Learning gene networks under SNP perturbations using eQTL datasets.Stability indicators in network reconstruction.The Wright stuff: reimagining path analysis reveals novel components of the sex determination hierarchy in Drosophila melanogaster.Generating a robust statistical causal structure over 13 cardiovascular disease risk factors using genomics data.Integrative random forest for gene regulatory network inferenceRidle for sparse regression with mandatory covariates with application to the genetic assessment of histologic grades of breast cancer.Environmental and genetic perturbations reveal different networks of metabolic regulation.An expression quantitative trait loci-guided co-expression analysis for constructing regulatory network using a rice recombinant inbred line population.A new method to infer causal phenotype networks using QTL and phenotypic information.Inference of SNP-gene regulatory networks by integrating gene expressions and genetic perturbations.Heterogeneous reciprocal graphical models.Genotype-phenotype modeling considering intermediate level of biological variation: a case study involving sensory traits, metabolites and QTLs in ripe tomatoes.Building phenotype networks to improve QTL detection: a comparative analysis of fatty acid and fat traits in pigsCondition-adaptive fused graphical lasso (CFGL): An adaptive procedure for inferring condition-specific gene co-expression network
P2860
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P2860
Gene expression network reconstruction by convex feature selection when incorporating genetic perturbations.
description
2010 nî lūn-bûn
@nan
2010 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի դեկտեմբերին 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
Gene expression network recons ...... orating genetic perturbations.
@ast
Gene expression network recons ...... orating genetic perturbations.
@en
type
label
Gene expression network recons ...... orating genetic perturbations.
@ast
Gene expression network recons ...... orating genetic perturbations.
@en
prefLabel
Gene expression network recons ...... orating genetic perturbations.
@ast
Gene expression network recons ...... orating genetic perturbations.
@en
P2860
P1476
Gene expression network recons ...... orating genetic perturbations.
@en
P2093
Benjamin A Logsdon
Jason Mezey
P2860
P304
P356
10.1371/JOURNAL.PCBI.1001014
P577
2010-12-02T00:00:00Z