A partially linear tree-based regression model for multivariate outcomes.
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Gradient forests: calculating importance gradients on physical predictors.Projection regression models for multivariate imaging phenotype.A robust association test for detecting genetic variants with heterogeneous effects.Nonparametric Covariate-Adjusted Association Tests Based on the Generalized Kendall's Tau().Genetic association test for multiple traits at gene level.A novel tree-based procedure for deciphering the genomic spectrum of clinical disease entities.
P2860
A partially linear tree-based regression model for multivariate outcomes.
description
2009 nî lūn-bûn
@nan
2009 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
A partially linear tree-based regression model for multivariate outcomes.
@ast
A partially linear tree-based regression model for multivariate outcomes.
@en
type
label
A partially linear tree-based regression model for multivariate outcomes.
@ast
A partially linear tree-based regression model for multivariate outcomes.
@en
prefLabel
A partially linear tree-based regression model for multivariate outcomes.
@ast
A partially linear tree-based regression model for multivariate outcomes.
@en
P2093
P2860
P1433
P1476
A partially linear tree-based regression model for multivariate outcomes.
@en
P2093
Jinbo Chen
Neil Caporaso
William Wheeler
P2860
P356
10.1111/J.1541-0420.2009.01235.X
P407
P577
2009-05-07T00:00:00Z