"large interrelationship" is a perfectly correct and usable phrase in written English.
You can use it when you want to describe a broad or wide-ranging relationship between two or more people, places, or things. For example, you might say, "The large interrelationship between the countries of Europe has made trade and travel much easier in the region."
The poet's own distinctive blend of poetics and politics is based on the theme of love: a twin allegiance to the beloved woman and the ideals of the larger interrelationships of humanity.
It is highly probable to identify a statistically significant association between a given gene list and prognosis in the NKI2 dataset due to its large sample size and the interrelationship between ER-α expression and markers of proliferation.
Also, unlike tight clustering which produces a large number of clusters whose interrelationships are not known, nMDS gives a clear picture of the relationships between data points across time.
Simple laboratory culturing in complex medium can be enormously informative regarding the activities of and interrelationships among a large fraction of all genes in an organism.
A hierarchical clustering analysis is a commonly used exploratory technique to handle a large set of data whose interrelationships are elusive and not fully understood.
This analytic approach involves a series of structure-analyzing procedures to identify the interrelationships among a large set of observed variables and group the variables into dimensions or factors that have similar characteristics [ 47].
The Millennium Cohort Study, a 21-year longitudinal, population-based study of the health of US service members, provides a unique opportunity to investigate the interrelationships of a large number of prospectively measured physical and psychological symptoms and conditions among US military personnel [ 6].
It also diminishes significantly the amount of personal bias commonly introduced during the process of data interpretation [ 46] and overcomes the confines of lists and matrices, which have clear limitations in conveying large amounts of complex data and interrelationships [ 47].
In recent years a large amount of literature data emphasizes the interrelationship between pathogenic mechanisms of chronic hepatitis C virus (HCV) infection and lipid and glucid metabolism.
A large body of studies has examined this complex interrelationship (Powell et al. 2004; Connaughton & Shuffler 2007; Niederman & Tan, 2011, April).
