Dimension reduction techniques for the integrative analysis of multi-omics data

• Published in: Briefings in bioinformatics Vol. 17; no. 4; pp. 628 - 641
• Main Authors: Meng, Chen, Zeleznik, Oana A., Thallinger, Gerhard G., Kuster, Bernhard, Gholami, Amin M., Culhane, Aedín C.
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 01.07.2016
• Subjects: data collection; Genomics; High-Throughput Nucleotide Sequencing; proteomics; Special Issue continued: Computational Systems Biomedicine Papers; transcriptomics; multi-assay; integrative genomics; exploratory data analysis; multi-omics data integration; dimension reduction; multivariate analysis

State-of-the-art next-generation sequencing, transcriptomics, proteomics and other high-throughput 'omics' technologies enable the efficient generation of large experimental data sets. These data may yield unprecedented knowledge about molecular pathways in cells and their role in disease....