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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.
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This overall mapping approach has been termed "topological mapping" by Paschmann et al. (2002).
This two stage mapping approach has been very successful and requires modest numbers of individuals.
Accordingly, a univariate statistical parametric mapping approach has been proposed [11], [12].
The connectivity mapping approach has been applied to studies to discover candidate therapeutics to neuroblastoma and hepatocellular carcinoma [8], [9].
The consanguinity mapping approach has not yet been widely applied to nonsyndromic CHD, in part because parental consanguinity is uncommon in places where research efforts have historically been most intense.
The faster ML mapping approach has utility as a quick estimation of phylogenetic information content of four genomes.
The radiation hybrid (RH) mapping approach has been established as the method of choice to generate medium to high resolution maps.
GWAS mapping approach has been used with success in studies on important traits of model plants and crops, such as Arabidopsis thaliana, rice, maize, sorghum, barley [ 27– 37].
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