Rearrangement of incomplete multi-omics datasets combined with ComDim for evaluating replicate cross-platform variability and batch influence

Puig‐Castellví, Francesc; Bouveresse, Delphine Jouan-Rimbaud; Mazéas, Laurent; Chapleur, Olivier; Rutledge, Douglas N.

doi:10.1016/j.chemolab.2021.104422

Cited by 4 publications

(1 citation statement)

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“…A recently published method proposes strategies to be applied when different numbers of replicates are present in the different blocks. 37 With the existing data fusion methods, multiblock datasets with different numbers of repetitions in each matrix can only be analyzed either by reducing the number of replicates in the larger blocks (e.g., by averaging replicates), or by increasing the number of individuals in the smaller blocks by imputing the missing rows from the existing data. Therefore, in the latter method, each data point would be considered a replicate sample.…”

Section: Comdim To Correct For Different Numbers Of Repetitionsmentioning

confidence: 99%

A synthetic review of some recent extensions of ComDim

Bouveresse

Rutledge

2022

Journal of Chemometrics

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The simultaneous analysis of several data matrices related to the same set of samples can be done with the use of multiblock methods. Common components and specific weights analysis (CCSWA), also called ComDim, is one method enabling the analysis of such data. CCSWA, which is a multiblock version of principal components analysis (PCA), is particularly interesting as it can easily be modified and transformed, either by replacing its PCA‐based data decomposition by another multivariate method, such as independent components analysis or partial least‐squares regression, for example, or by segmenting the data matrices before multiblock analysis, or both. These modifications aim at improving the models and their interpretation. This article will give a concise description of ComDim and then a presentation of several recent extensions of the method, showing its usefulness as both a supervised and a non‐supervised method.

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Section: Comdim To Correct For Different Numbers Of Repetitionsmentioning

confidence: 99%