Subspace learning is a widely used face recognition technique; however, numerous subspace analysis methods do not fully utilize the prior information of facial variations.
Numerous pathway analysis methods and data types are implemented in R/Bioconductor, yet there has not been a dedicated and established tool for pathway-based data integration and visualization.
Different scientists have developed numerous analysis models and methods, and each has its own advantages [ 42- 44, 65].
This study assesses intraobserver, interobserver, and importantly, test retest repeatability using numerous (7) available analysis methods for the quantification of myocardial oedema and infarct size in a population with reperfused acute myocardial infarction (STEMI).
Although the numerous gene-set analysis methods propose different measures of association (statistics), they all attempt to use the framework of statistical hypothesis testing to assess significance of association and, hence, assign a P-value to the gene set.
Among the numerous nucleic acid analysis methods of particular interest are those that provide immediate visible or fluorescent response after hybridization to complementary nucleic acid analytes, thus offering easy and instant detection of specific DNA and RNA.
Numerous tissue image analysis methods have been presented in the literature, such as those in Kleiner et al. (2009); Newberg and Murphy (2008) and Strömberg et al. (2007), and incorporating similar methods as a part of the analysis pipeline is one of our main objectives.
Results from [123I]β-CIT SPECT/CT showed a high correlation to immunohistochemical findings and could reliably be used to estimate the severity of the 6-OHDA-induced dopaminergic lesion, showing numerous advantages compared to conventional analysis methods.
Pplacer has been shown to outperform other placement methods and is integrated into numerous analysis pipelines, e.g. PhyloSift [ 24] in the analysis of metagenomes and SEPP [ 25] for phylogenetic placement in exceptionally large phylogenetic trees.
Classical enrichment analysis methods overvalued very general categories and/or returned numerous very detailed hits.
