A Weighted Random Forests Approach to Improve Predictive Performance. - Wikidata - awgldk - TriplyDB

A Weighted Random Forests Approach to Improve Predictive Performance.

A Weighted Random Forests Approach to Improve Predictive Performance.

http://www.wikidata.org/entity/Q37549318

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Modeling X Chromosome Data Using Random Forests: Conquering Sex Bias National Veterans Health Administration inpatient risk stratification models for hospital-acquired acute kidney injury.Design of Probabilistic Random Forests with Applications to Anticancer Drug Sensitivity Prediction.

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A Weighted Random Forests Approach to Improve Predictive Performance.

http://www.wikidata.org/entity/Q37549318

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on December 2013

@en

vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

A Weighted Random Forests Approach to Improve Predictive Performance.

@en

A Weighted Random Forests Approach to Improve Predictive Performance.

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type

label

A Weighted Random Forests Approach to Improve Predictive Performance.

@en

A Weighted Random Forests Approach to Improve Predictive Performance.

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prefLabel

A Weighted Random Forests Approach to Improve Predictive Performance.

@en

A Weighted Random Forests Approach to Improve Predictive Performance.

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Statistical Analysis and Data Mining

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A Weighted Random Forests Approach to Improve Predictive Performance

@en

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Joanna M Biernacka

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Robert R Freimuth

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P2860

Finding the missing heritability of complex diseases

Genome-wide association studies for complex traits: consensus, uncertainty and challenges

The NCBI dbGaP database of genotypes and phenotypes

Screening large-scale association study data: exploiting interactions using random forests

An application of Random Forests to a genome-wide association dataset: methodological considerations & new findings

A genome-wide association study of alcohol dependence.

SNP interaction detection with Random Forests in high-dimensional genetic data

Genetic variability in the NMDA-dependent AMPA trafficking cascade is associated with alcohol dependence

Stability and aggregation of ranked gene lists.

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496-505

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scholarly article

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10.1002/SAM.11196

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6

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6

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Stacey J Winham

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2013-12-01T00:00:00Z

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24501613

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3912194

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