Voillet, V.; Besse, P.; Liaubet, L.; San Cristobal, M.; Gonzalez, I. Handling missing rows in multi-omics data integration: Multiple imputation in multiple factor analysis framework. BMC Bioinform. 2016, 17, 402
Multi-Omics Factor Analysis-a framework for unsupervised integration of multi-omics data sets Mol. Syst. Biol, 14 (2018), p. e8124 View in ScopusGoogle Scholar 41. Busold C.H., Winter S., Hauser N., Bauer A., Dippon J., Hoheisel J.D., Fellenberg K. Integration of GO annotations...
mixed, hierarchical, intermediate and late integration. In this work, we focus on the mixed integration type, which has demonstrated to ensure great adaptability for omics data fusion as reviewed in Picard et al. [17].
Multiple Kernel Learning (MKL) is a machine learning approach that allows for the integration of multiple features, such as genes, proteins, and metabolites, by combining them as different kernel matrices. These matrices are then used as input for various inference tasks, such as classification and...
DeepOmix: a scalable and interpretable multi-omics deep learning framework and application in cancer survival analysis. Comput Struct Biotechnol J. 2021;19:2719–25. Ivanisevic T, Sewduth RN. Multi-omics Integration for the design of Novel therapies and the identification of novel biomarkers. ...
Tree integration In this part, we work on four omics data tables, which correspond to measures of meth- ylation, mirna, protein and gene expression (RNA-seq data) for 113 patients with breast cancer. As before, the patients are classified into four subtypes: Basal(n = 25 ), HER2- ...
Advanced methodological techniques, such as CRISPR-dCas9 systems and multi-omics integration, are also involved in certain epigenetic changes affect immune responses and mitochondrial biogenesis in MS, offering a thorough and novel understanding of the disease. This study examines the consequences of ...
scMultiSim: simulation of single-cell multi-omics and spatial data guided by gene regulatory networks and cell–cell interactions Article 17 April 2025 Integrating spatial and single-cell transcriptomics data using deep generative models with SpatialScope Article Open access 29 November 2023 Bench...
A multivariate approach to the integration of multi-omics datasets. BMC Bioinformatics. 2014. doi:10.1186/1471-2105-15-162. Google Scholar Meng C. omicade4 R package. Bioconductor 3.3; https://www.bioconductor.org/packages/release/bioc/html/omicade4.html. Louhimo R, Hautaniemi S. CNAmet...
Recent advances in genomic technologies, such as machine learning-driven SNP prioritization and multi-omics integration, high- light the potential for further refining trait-associated loci in dairy goats. Precision breeding can improve breeding efficiency, accelerate the cultivation process of excellent ...