Sentence examples for between genes based on from inspiring English sources
In this study, we employed a kernel-based approach to reconstruct functional relationships between genes based on genomic and post-genomic data from various sources (primarily extracted from databases but also produced by laboratory experiments) for a group of well-characterized immunity-related genes (IRGs).
To apply the network-based approaches, we evaluated several similarity measures between genes based on a protein-protein interaction network (STRING, version 9).
Network-based prioritization aims to aid this effort by inferring functional associations between genes based on the interactions among their products, i.e., proteins.
Therefore, we adopted PCC to measure tendency of co-expression between genes based on these 1,081 Affymetrix samples.
In this study, we strictly followed the definition and methodology of CID described in Hsiao and Liu (2016) and focus on utilizing the CID in measuring the magnitude of association in general between genes based on microarray gene expression data.
Three methods for establishing and quantifying causal relationships between genes based on steady-state measurements in single-gene perturbation experiments have recently been proposed: the regulatory strength method, the local regulatory strength method, and Gardner's method.
We then compute the similarity between two genes based on the overlap between their GO profiles.
This set of assumptions has also been made when inferring functional variability from phylogenetic tree distances between OR genes based on the entire protein sequence (e.g., [14]).
This modelling technique specifies mathematical relationships between the genes based on linear regression models.
We rebuilt the phylogenetic relationships between PRDM genes based on the multiple alignment of the PR-domain of all PRDM proteins identified in vertebrates.
These scores were computed using a probabilistic approach that assigns a score to each interaction between two genes based on their likelihood of participating in the same biological process (See Additional File 1 Supplementary Methods).
