Integration of multi-omics data for prediction of phenotypic traits using random forest
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Advances in Integrating Traditional and Omic Biomarkers When Analyzing the Effects of the Mediterranean Diet Intervention in Cardiovascular PreventionInvestigating the Influence Relationship Models for Stocks in Indian Equity Market: A Weighted Network Modelling StudyIPF-LASSO: Integrative L1-Penalized Regression with Penalty Factors for Prediction Based on Multi-Omics Data.The translation of lipid profiles to nutritional biomarkers in the study of infant metabolism.A Concise Review on Multi-Omics Data Integration for Terroir Analysis in Vitis vinifera.Genetical genomics of quality related traits in potato tubers using proteomics.Arachidonic Acid Metabolism Pathway Is Not Only Dominant in Metabolic Modulation but Associated With Phenotypic Variation After Acute Hypoxia Exposure.Data mining and machine learning approaches for the integration of genome-wide association and methylation data: methodology and main conclusions from GAW20Systems Medicine Disease: Disease Classification and Scalability Beyond Networks and Boundary Conditions
P2860
Q28069172-E6B3652A-7E4B-4DE8-98C4-41BF2E4897E3Q36192740-AC01A770-0895-4E88-8C3A-58E72B46B7BAQ36382215-90BD59C2-AF7D-4D28-A5B4-31E14A7C51CFQ37610796-734C34D5-3ABE-4B9F-AACA-58039A730715Q38693798-8B158A71-12D7-4052-9F32-D1972820362FQ49305482-7F6B8BE8-2323-46E1-BFBD-87076D330F7EQ55092272-1AF52260-DA1B-4844-916D-DC19A27ED39EQ58730788-84A4D289-231D-4497-BB32-AADFEA5C2D92Q58797310-3B3F2D7C-47EE-4BBD-853A-9E420291D0C5
P2860
Integration of multi-omics data for prediction of phenotypic traits using random forest
description
2016 nî lūn-bûn
@nan
2016 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2016 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2016年の論文
@ja
2016年論文
@yue
2016年論文
@zh-hant
2016年論文
@zh-hk
2016年論文
@zh-mo
2016年論文
@zh-tw
2016年论文
@wuu
name
Integration of multi-omics data for prediction of phenotypic traits using random forest
@ast
Integration of multi-omics data for prediction of phenotypic traits using random forest
@en
type
label
Integration of multi-omics data for prediction of phenotypic traits using random forest
@ast
Integration of multi-omics data for prediction of phenotypic traits using random forest
@en
prefLabel
Integration of multi-omics data for prediction of phenotypic traits using random forest
@ast
Integration of multi-omics data for prediction of phenotypic traits using random forest
@en
P2093
P2860
P1433
P1476
Integration of multi-omics data for prediction of phenotypic traits using random forest
@en
P2093
Bjorn Kloosterman
Chris Maliepaard
Richard G F Visser
P2860
P2888
P356
10.1186/S12859-016-1043-4
P478
17 Suppl 5
P577
2016-06-06T00:00:00Z
P6179
1025872318