Bayesian method to predict individual SNP genotypes from gene expression data.
about
Evolving approaches to the ethical management of genomic dataGenetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plansPrivacy in the Genomic EraRespecting Autonomy Over Time: Policy and Empirical Evidence on Re-Consent in Longitudinal Biomedical ResearchEpigenome data release: a participant-centered approach to privacy protectionRoutes for breaching and protecting genetic privacyThe Genotype-Tissue Expression (GTEx) projectBayesian test for colocalisation between pairs of genetic association studies using summary statisticsSharing privacy-sensitive access to neuroimaging and genetics data: a review and preliminary validationA mechanism for controlled access to GWAS data: experience of the GAIN Data Access CommitteeData sharing in the post-genomic world: the experience of the International Cancer Genome Consortium (ICGC) Data Access Compliance Office (DACO)reGenotyper: Detecting mislabeled samples in genetic dataNCI think tank concerning the identifiability of biospecimens and "omic" data.MODMatcher: multi-omics data matcher for integrative genomic analysis.Risk of re-identification of epigenetic methylation data: a more nuanced response is needed.Identification and Correction of Sample Mix-Ups in Expression Genetic Data: A Case StudyA new molecular signature method for prediction of driver cancer pathways from transcriptional data.Heritability and genomics of gene expression in peripheral blood.Cross-species gene expression analysis identifies a novel set of genes implicated in human insulin sensitivityIdentification of four novel genes contributing to familial elevated plasma HDL cholesterol in humans.Translating personalized medicine using new genetic technologies in clinical practice: the ethical issuesPrediction of LDL cholesterol response to statin using transcriptomic and genetic variationCalling sample mix-ups in cancer population studies.An information-theoretic machine learning approach to expression QTL analysis.A meta-analysis of gene expression quantitative trait loci in brain.Airway Epithelial Expression Quantitative Trait Loci Reveal Genes Underlying Asthma and Other Airway Diseases.Integrative genomic deconvolution of rheumatoid arthritis GWAS loci into gene and cell type associations.Building trust in 21st century genomics.Lessons from HeLa Cells: The Ethics and Policy of Biospecimens.Harvard Personal Genome Project: lessons from participatory public researchPost-GWAS methodologies for localisation of functional non-coding variants: ANGPTL3.An overview of human genetic privacy.Imputing Gene Expression in Uncollected Tissues Within and Beyond GTEx.Blood-based biomarkers used to predict disease activity in Crohn's disease and ulcerative colitis.The changing privacy landscape in the era of big data.Understanding the links between privacy and public data sharing.Opportunities and challenges provided by cloud repositories for bioinformatics-enabled drug discovery.Research ethics. The complexities of genomic identifiability.The International Cancer Genome Consortium's evolving data-protection policies.How should the legal framework for the protection of human genomic data be formulated?-Implications from the revision processes of the Act on the Protection of Personal Information (PPI Act).
P2860
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P2860
Bayesian method to predict individual SNP genotypes from gene expression data.
description
2012 nî lūn-bûn
@nan
2012 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Bayesian method to predict individual SNP genotypes from gene expression data.
@ast
Bayesian method to predict individual SNP genotypes from gene expression data.
@en
Bayesian method to predict individual SNP genotypes from gene expression data.
@nl
type
label
Bayesian method to predict individual SNP genotypes from gene expression data.
@ast
Bayesian method to predict individual SNP genotypes from gene expression data.
@en
Bayesian method to predict individual SNP genotypes from gene expression data.
@nl
prefLabel
Bayesian method to predict individual SNP genotypes from gene expression data.
@ast
Bayesian method to predict individual SNP genotypes from gene expression data.
@en
Bayesian method to predict individual SNP genotypes from gene expression data.
@nl
P2093
P356
P1433
P1476
Bayesian method to predict individual SNP genotypes from gene expression data.
@en
P2093
Eric E Schadt
Sangsoon Woo
P2888
P304
P356
10.1038/NG.2248
P407
P577
2012-05-01T00:00:00Z