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Table 3 Glossary of terms

From: Community-wide hackathons to identify central themes in single-cell multi-omics

Consensus term Related terms Description Citation
Network Graph, adjacency matrix A set of nodes, representing objects of interest, linked by edges, representing specific relationships between nodes. [46]
Node Vertex Element of interest in a network and linked to other nodes. For example: people, cells, proteins or genes. Nodes can have several properties called attributes like cell type or position. [46]
Edge Link The relationship between 2 nodes in a network. For example: friendship in social networks, cells in contact in a spatial network, or gene-gene interactions in a gene regulatory network. [46]
Concordant Common Agreement between multiple modalities with respect to feature/variable selection and correlation of latent factors. [47, 48]
Consistent Coherent, self-consistent, within-study evaluation Similar performance obtained from applying methods for multi-modal data during multiple rounds of data splitting. [49]
Contributions Variable weights, loadings, eigenvector, axis, direction, dimension, coefficients, slopes Contributions of the original variables in constructing the components. [50, 51]
Latent factors Variates, scores, projections, components, latent/hidden/unobserved variables/factors Weighted linear combinations of the original variables. [50, 51]
Multi-modal Multiview, multiway arrays, multi-modal, multidomain, multiblock, multitable, multi-omics, multi-source data analysis methods, N-integration Methods pertaining to the analysis of multiple data matrices for the same set of observations. [50, 52, 53]
Conjoint analysis P-integration, meta-analysis, multigroup data analysis Methods pertaining to the analysis of multiple data matrices for the same set of variables. [50, 51, 54]
Variable Feature A measurable quantity that describes an observation’s attributes. Variables from different modalities include age, sex, gene or protein abundance, single nucleotide variants, operational taxonomic units, pixel intensity etc. [46]
Biomarker Marker A variable that is associated with normal or disease processes, or responses to exposures, or interventions. Any change in this variable is also associated with a change in the associated clinical outcome. These variables may be used for diagnostic, monitoring, Pharmacodynamic responses. Examples include LDL cholesterol, CD4 counts, hemoglobin A1C. [55]
Panel Biomarker panel, biomarker signature A subset of the originally measured variables that are determined to be associated with the outcome or response variable. This may be determined using statistical inference, feature selection methods, or machine/statistical learning. [56, 57]
Observation Sample, observation, array A single entity belonging to a larger grouping. Examples include patients, subjects, participants, cells, biological sample, and usually the unit of observation on which the variables are measured [46]