Identification of Block-Structured Covariance Matrix on an Example of Metabolomic Data
Modern investigation techniques (e.g., metabolomic, proteomic, lipidomic, genomic, transcriptomic, phenotypic), allow to collect high-dimensional data, where the number of observations is smaller than the number of features. In such cases, for statistical analyzing, standard methods cannot be applie...
Saved in:
Main Authors: | Adam Mieldzioc, Monika Mokrzycka, Aneta Sawikowska |
---|---|
Format: | article |
Language: | EN |
Published: |
MDPI AG
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/73c315c0f9af43f1b48a7627fe433471 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Metric Information Matrix for Maximum Mean Discrepancy for Domain Adaptation
by: Wenjuan Ren, et al.
Published: (2021) -
A computational method for the covariance matrix associated with extracellular diffusivity on disordered models of cylindrical brain axons
by: Daniel Cervantes, et al.
Published: (2021) -
An upper bound on the largest signless Laplacian of an odd unicyclic graph
by: Collao,Macarena, et al.
Published: (2012) -
AN IMPROVED TOPOLOGICAL DESCRIPTOR EDm AND ITS APPLICATION
by: NIE,CHANGMING, et al.
Published: (2012) -
A Novel Clutter Covariance Matrix Estimation Method Based on Feature Subspace for Space-Based Early Warning Radar
by: Tianfu Zhang, et al.
Published: (2021)