Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data. - Test2 - elhamkhani - TriplyDB

Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data.

Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data.

http://www.wikidata.org/entity/Q30574608

about

Multivariate Methods for Genetic Variants Selection and Risk Prediction in Cardiovascular Diseases Evaluation of potential novel variations and their interactions related to bipolar disorders: analysis of genome-wide association study data Naïve Bayes classifier with feature selection to identify phage virion proteins Identification of antioxidants from sequence information using naïve Bayes.Performance Metrics for Selecting Single Nucleotide Polymorphisms in Late-onset Alzheimer's Disease.The innovative medicines initiative: a public private partnership model to foster drug discovery.Prognosis in autoimmune and infectious disease: new insights from genetics.Novel genetic susceptibility loci for diabetic end-stage renal disease identified through robust naive Bayes classification.Validation of Plasma Biomarker Candidates for the Prediction of eGFR Decline in Patients With Type 2 Diabetes Using a Classifier Fusion Strategy to Identify Anti-angiogenic Peptides

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P2860

Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data.

http://www.wikidata.org/entity/Q30574608

description

2012 nî lūn-bûn

@nan

2012 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի սեպտեմբերին 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

Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data.

@ast

Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data.

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type

label

Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data.

@ast

Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data.

@en

prefLabel

Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data.

@ast

Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data.

@en

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1471-2105-13-S14-S2

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BMC Bioinformatics

P1476

Bag of Naïve Bayes: biomarker selection and classification from genome-wide SNP data.

@en

P2093

Barbara Di Camillo

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

Emanuele Trifoglio

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Francesco Sambo

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Gianna M Toffolo

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P2860

Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Hundreds of variants clustered in genomic loci and biological pathways affect human height

Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes

A genome-wide association study identifies a novel major locus for glycemic control in type 1 diabetes, as measured by both A1C and glucose

Six new loci associated with body mass index highlight a neuronal influence on body weight regulation

Meta-analysis of genome-wide association data and large-scale replication identifies additional susceptibility loci for type 2 diabetes.

Missing heritability and strategies for finding the underlying causes of complex disease

Assessing the accuracy of prediction algorithms for classification: an overview

Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies

Bioinformatics challenges for genome-wide association studies.

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1471-2105-13-s14-s2

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S2

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scholarly article

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10.1186/1471-2105-13-S14-S2

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13 Suppl 14

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Claudio Cobelli

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2012-09-07T00:00:00Z

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232698568

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23095127

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3439675

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