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It is found that, lesser number of neurons and lower percentage of both training and validation dataset contributes to better network performance.
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Results indicate that selecting nodes based on the observed metric contributes to better performance and longer network lifetime.
The development of such tools contributes to better optimizing methodologies.
Ultimately, it contributes to better long-term survival.
Needless to say, continuous management and further development of the drug databases as well as the collaborative sharing of knowledge may contribute to better prediction of drug target interaction networks, potentially solving many other pharmaceutical problems.
Regional networks may contribute to better exchange of experience.
We suggest that studying central nodes in mediator networks may contribute to better understanding and quantifying pleiotropy.
But a clearer picture of how and why we use the social network could eventually help contribute to better mental health for us all.
Taken together, our data directly showed that STAT3 can modulate the miRNA expression levels in CRC cells, which contribute to better understanding of STAT3-miRNA interaction as well as the involved complex regulatory network.
Increasing evidence suggests that combination of network concepts, such as centrality, with gene, protein, or microRNA expression information, may contribute to better prioritization of relevant biological targets.
This will consequently contribute to better substantiation of health claims.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com