Bayesian joint analysis of heterogeneous genomics data. - Wikidata - awgldk - TriplyDB

Bayesian joint analysis of heterogeneous genomics data.

Bayesian joint analysis of heterogeneous genomics data.

http://www.wikidata.org/entity/Q30747001

about

Integrative analyses of cancer data: a review from a statistical perspective Integrative methods for analyzing big data in precision medicine.Integrative clustering of high-dimensional data with joint and individual clusters.R.JIVE for exploration of multi-source molecular data.More Is Better: Recent Progress in Multi-Omics Data Integration Methods Incorporating covariates into integrated factor analysis of multi-view data.Prediction With Dimension Reduction of Multiple Molecular Data Sources for Patient Survival.Modeling gene-wise dependencies improves the identification of drug response biomarkers in cancer studies.Developing a 'personalome' for precision medicine: emerging methods that compute interpretable effect sizes from single-subject transcriptomes.Module Analysis Captures Pancancer Genetically and Epigenetically Deregulated Cancer Driver Genes for Smoking and Antiviral Response.Common and distinct components in data fusion

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Bayesian joint analysis of heterogeneous genomics data.

http://www.wikidata.org/entity/Q30747001

description

2014 nî lūn-bûn

@nan

2014 թուականի Յունուարին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի հունվարին հրատարակված գիտական հոդված

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2014年の論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年論文

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2014年论文

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name

Bayesian joint analysis of heterogeneous genomics data.

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Bayesian joint analysis of heterogeneous genomics data.

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Bayesian joint analysis of heterogeneous genomics data.

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Bayesian joint analysis of heterogeneous genomics data.

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prefLabel

Bayesian joint analysis of heterogeneous genomics data.

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Bayesian joint analysis of heterogeneous genomics data.

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Bayesian joint analysis of heterogeneous genomics data.

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P2093

Joseph Lucas

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Lingling Zheng

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Priyadip Ray

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P2860

Astrocyte elevated gene-1: recent insights into a novel gene involved in tumor progression, metastasis and neurodegeneration

Estimating the Dimension of a Model

iBAG: integrative Bayesian analysis of high-dimensional multiplatform genomics data.

A Bayesian Graphical Model for Integrative Analysis of TCGA Data.

A statistical framework for genomic data fusion.

Isolation and characterization of vascular smooth muscle cell growth promoting factor from bovine ovarian follicular fluid and its cDNA cloning from bovine and human ovary.

DNA methylation, methyltransferases, and cancer.

I/NI-calls for the exclusion of non-informative genes: a highly effective filtering tool for microarray data.

VSGP/F-spondin: a new ovarian cancer marker.

Integrated analysis of DNA methylation and gene expression reveals specific signaling pathways associated with platinum resistance in ovarian cancer

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1370-1376

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10.1093/BIOINFORMATICS/BTU064

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10

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24489367

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