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A more powerful detection scheme takes full advantage of the punctured structure of L (t).
Fluorescence in situ hybridization (FISH) and even more powerful detection methods such as microarray-based comparative genomic hybridization (array-CGH) have demonstrated that submicroscopic genomic losses and gains may be causally related to autism at much higher percentages [5], [6].
The purpose of the above exclusion procedures was to minimize the known environmental and therapeutical factors that influence or are related to the endocrine systems/factors important to development of bone mass and obesity, so that the effect sizes due to genetic factors can be enhanced in our study sample for more powerful detection of genetic variants via our study design.
The relatively high Cd concentration in the QDs allowed concentrations down to 2.52 pmol to be detected by ICP-OES (assessed by a QD standard curve), resulting in a more powerful detection technique compared with fluorescence microscopy.
Linkage mapping in multi-parental population [ 11] and association mapping in connected recombinant inbred lines or natural populations [ 12, 13] have been developed for more powerful detection and comparison of positive alleles among a wider diversity of genotypes than in previous studies.
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These methods involve the analysis of statistical features and specific genomic signatures, and are more powerful in detection of gene insertion, as opposed to phylogeny-based techniques that can detect gene displacement as well [ 1].
An overview of research tools in the field of CSF cancer detection reveals a variety of promising technologies that can be used to answer questions about the biology of metastatic cancer and to develop more powerful clinical detection methods.
QTL mapping in animals has shown that epistasis effects are often large enough to be detected and thus merit a systematic scan regardless of population size, although larger populations (> 500 individuals) allow a more powerful epistasis detection [ 56].
Combined advances in technology and radiopharmaceutical development have driven these changes prompting more powerful disease detection at earlier stages which portends earlier intervention, improved risk stratification, optimized diagnostic accuracy, and ultimately improved prognosis.
Further improvements for complex mining can be obtained by improving the quality of the PPI data with new and more powerful experimental detection technologies, or with computational approaches for validating the existing protein interactions (to address false positive interaction issue) and predicting novel protein interactions (to address false negative interaction issue).
Results from MEME are consistent with those obtained with other methods that detect pervasive selection (such as REL and FEL) but are generally more powerful for the detection of episodic selection [ 61].
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