Sentence examples for genomic data sources from inspiring English sources
The mean coexpression index was determined for different window sizes and from two different genomic data sources: a) the real genome, to which the expressed genes were mapped; and b) the randomized genome, which was created by shuffling position indexes of the same number of genes on each chromosome.
Unraveling the structure of complex biological processes from genomic data sources has been a focal point in bioinformatics research.
In this study, the candidate bio-terms for t1 are identified and refined based on the genomic data sources in Chem2Bio2Rdf and the candidate bio-terms for t2 are those that could interact to the candidate bio-terms for t1.
In this work, we proposed a computational approach to build interest-specific connectivity maps, i.e. build disease-specific gene-drug connectivity maps, based on both the genomic data sources and the literature resources.
We then compared the performance of pgFusion with that of individual genomic data sources.
Methods using multiple genomic data sources have also been proposed [ 9, 10].
Final results were then 7 p-values, one for a genomic data source.
We proposed to convert each genomic data source into a pairwise similarity profile describing functional similarity of genes and then use a multiple regression model to characterize the strength of association between a candidate gene and a query disease.
In the regression model, pgFusion explained the phenotype similarity between two diseases using their genotype similarity, which was defined as the total functional similarities of their associated genes under a certain genomic data source.
For a pair of two diseases, we defined their phenotype similarity as the cosine value calculated by the text mining technique and their genotype similarity under a certain genomic data source as the total pairwise similarity of their associated genes derived from the genomic data.
To quantitatively measure the correlation between phenotype similarity and genotype similarity, we derived for each genomic data source two vectors, one composed of mean phenotype similarities of disease pairs in the 10 bins and the other consisting of corresponding mean genotype similarities.
