Sentence examples for multiple genomic data from inspiring English sources

Systems biology approaches can help genomics studies through systematic and integrative approaches to incorporate multiple genomic data and assemble the information toward cellular or physiological behaviours related to a particular biological phenotype such as disease.

Assaf's previous postdoctoral appointment was in the Balvatnik School of Computer Science, Tel Aviv University, where his research focused on integrating multiple genomic data types for inference of novel drug targets, indications and drug interactions.

While the genomic and genetic basis of colorectal cancer has been elucidated to some degree, less is known about the identity of specific cancer genes that are associated with advanced clinical stage and metastasis.We compiled multiple genomic data types (mutations, copy number alterations, gene expression and methylation status) as well as clinical meta-data from The Cancer Genome Atlas (TCGA).

Methods using multiple genomic data sources have also been proposed [ 9, 10].

Here, we constructed MRAN using CMMs to investigate miRNA cooperativity based on integration of multiple genomic data sources.

The proposed method is based on the assumption that genes involved in diseases with similar phenotypes often share similar characteristics across multiple genomic data sources.

Combining multiple level genomic data with novel algorithms, Prof. Ge Gao and his team systematically screened more than 950 human genomes and, surprisingly, identified multiple unknown functional elements/units among the whole genome.

Our work integrated multiple genomic and genetic data types within the Luminal A breast cancer subtype and spanned multiple data sets.

From our multiple experiences in genomic data modeling, we present results in three areas: genomic schema elements, genomic schema fragments, and genomic data modeling lessons.

His main research interest is to develop systems medicine approaches for understanding rheumatoid arthritis-perturbed networks in rheumatoid arthritis synovial tissues by integrating multiple types of genomic data sets, including mRNA and microRNA expression data.

Hartemink, AJ, and Segal, E. "Session Introduction: Joint Learning from Multiple Types of Genomic Data". World Scientific, 2005.