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Prediction approaches for partly missing multi-omics covariate data: A
  literature review and an empirical comparison study

Prediction approaches for partly missing multi-omics covariate data: A literature review and an empirical comparison study

8 February 2023
R. Hornung
Frederik Ludwigs
Jonas Hagenberg
A. Boulesteix
ArXivPDFHTML

Papers citing "Prediction approaches for partly missing multi-omics covariate data: A literature review and an empirical comparison study"

4 / 4 papers shown
Title
Integrate Any Omics: Towards genome-wide data integration for patient
  stratification
Integrate Any Omics: Towards genome-wide data integration for patient stratification
Shihao Ma
Andy G. X. Zeng
B. Haibe-Kains
Anna Goldenberg
John E. Dick
Bo Wang
45
4
0
15 Jan 2024
A Complete Characterisation of Structured Missingness
A Complete Characterisation of Structured Missingness
James Jackson
R. Mitra
Niels Hagenbuch
Sarah F. McGough
Chris Harbron
17
2
0
05 Jul 2023
Imputation of missing values in multi-view data
Imputation of missing values in multi-view data
Wouter van Loon
M. Fokkema
Frank de Vos
Marisa Koini
Reinhold Schmidt
M. Rooij
25
2
0
26 Oct 2022
MissForest - nonparametric missing value imputation for mixed-type data
MissForest - nonparametric missing value imputation for mixed-type data
D. Stekhoven
Peter Buhlmann
177
4,228
0
04 May 2011
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