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Table 9 Quantile from which the quantiles for one method are always greater than those of the other method, regarding the distributions of variable importances, across the SNPs, for T-Trees and the hybrid FLTM / T-Trees approach. For example, for (T1D, Chr13) dataset, the hybrid quantiles are always greater than the T-Trees quantiles as from top100 quantile. Moreover, the hybrid quantiles are an order of magnitude higher as from top20 quantile

From: A method combining a random forest-based technique with the modeling of linkage disequilibrium through latent variables, to run multilocus genome-wide association studies

Pathology

Chromosome

Constantly higher as of quantile

 

One order of magnitude higher as of quantile

  

T-Trees

hybrid approach

 

BD

Chr03

 

top200

—

 

Chr21

 

top300

—

CAD

Chr05

 

top10

—

 

Chr06

 

top100

—

CD

Chr01

 

top300

—

   

(except for top100)

 
 

Chr20

 

top200

top200 (except for top100 and top50)

HT

Chr10

 

top200

—

 

Chr14

 

top300

—

   

(except for top100)

 

RA

Chr06

 

top10

—

 

Chr19

 

top300

—

T1D

Chr02

top25%

 

—

  

(except for top300)

  
 

Chr13

 

top100

top20

T2D

Chr10

 

top300

—

 

Chr21

top25%

 

—

  

(except for top300 and top200)

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