Machine learning for integrating data in biology and medicine: Principles, practice, and opportunities
New technologies have enabled the investigation of biology and human health at an
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …
unprecedented scale and in multiple dimensions. These dimensions include a myriad of …
Multi-omic and multi-view clustering algorithms: review and cancer benchmark
N Rappoport, R Shamir - Nucleic acids research, 2018 - academic.oup.com
Recent high throughput experimental methods have been used to collect large biomedical
omics datasets. Clustering of single omic datasets has proven invaluable for biological and …
omics datasets. Clustering of single omic datasets has proven invaluable for biological and …
Elevated gut microbiome abundance of Christensenellaceae, Porphyromonadaceae and Rikenellaceae is associated with reduced visceral adipose tissue and …
Aging is accompanied by physiological changes affecting body composition and
functionality, including accumulation of fat mass at the expense of muscle mass, with effects …
functionality, including accumulation of fat mass at the expense of muscle mass, with effects …
Integrating single-cell transcriptomic data across different conditions, technologies, and species
Computational single-cell RNA-seq (scRNA-seq) methods have been successfully applied
to experiments representing a single condition, technology, or species to discover and …
to experiments representing a single condition, technology, or species to discover and …
mixOmics: An R package for 'omics feature selection and multiple data integration
The advent of high throughput technologies has led to a wealth of publicly available 'omics
data coming from different sources, such as transcriptomics, proteomics, metabolomics …
data coming from different sources, such as transcriptomics, proteomics, metabolomics …
More is better: recent progress in multi-omics data integration methods
Multi-omics data integration is one of the major challenges in the era of precision medicine.
Considerable work has been done with the advent of high-throughput studies, which have …
Considerable work has been done with the advent of high-throughput studies, which have …
Data fusion and IoT for smart ubiquitous environments: A survey
The Internet of Things (IoT) is set to become one of the key technological developments of
our times provided we are able to realize its full potential. The number of objects connected …
our times provided we are able to realize its full potential. The number of objects connected …
Correlation and association analyses in microbiome study integrating multiomics in health and disease
Y Xia - Progress in molecular biology and translational …, 2020 - Elsevier
Correlation and association analyses are one of the most widely used statistical methods in
research fields, including microbiome and integrative multiomics studies. Correlation and …
research fields, including microbiome and integrative multiomics studies. Correlation and …
Analysing microbial community composition through amplicon sequencing: from sampling to hypothesis testing
LW Hugerth, AF Andersson - Frontiers in microbiology, 2017 - frontiersin.org
Microbial ecology as a scientific field is fundamentally driven by technological advance. The
past decade's revolution in DNA sequencing cost and throughput has made it possible for …
past decade's revolution in DNA sequencing cost and throughput has made it possible for …
Dimension reduction techniques for the integrative analysis of multi-omics data
State-of-the-art next-generation sequencing, transcriptomics, proteomics and other high-
throughput 'omics' technologies enable the efficient generation of large experimental data …
throughput 'omics' technologies enable the efficient generation of large experimental data …