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New mapping approaches have greatly expanded our view on the cellular landscape of protein metabolite interactions.
Genome-wide mapping approaches have been successfully used to identify several candidate susceptibility genes for preeclampsia (PE).
Soil mapping in Denmark has a long history and a series of soil maps based on conventional mapping approaches have been produced.
As improvements to prediction outputs can be achieved without additional costly data collection, ensemble mapping approaches have clear value for spatial management.
Recently, several T1 mapping approaches have been developed to quantify diffuse fibrosis.
However, recent integrative studies that combine the targeted disruption of Dnmt genes with genome-wide mapping approaches have provided interesting insight into the functional specificities of individual Dnmts.
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Although DNN and other neural-network-based speech coefficients mapping approach have the potential to produce an accurate clean speech estimate, they rely on a representative parallel speech corpus for training the neural networks.
While many false positives detected using the miRBase mapping approach have low read counts, setting a stricter threshold on the read counts could result in bona-fide miRNAs being missed.
More recently, fast T1 assessment using a dual flip angle (FA) GRE sequence instead of a standard inversion recovery technique for dGEMRIC, 29 and GRE-based T2* mapping 24 as an alternative to the spin-echo-based T2 mapping approach, have enabled faster imaging times and isotropic three-dimensional (3D) cartilage evaluation.
Fine-mapping approaches have been developed to reduce these confidence intervals e.g. [ 3- 5], leading in some instances to the identification of the underlying causal mutation [ 6- 9].
This overall mapping approach has been termed "topological mapping" by Paschmann et al. (2002).
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