Although the mechanism by which PTEN and PI3K create the ordered patterns of cell shape is still unclear, the observed patterns have enabled us to propose a model of spontaneous cell migration, i.e., the coordination of migration with the formation of ordered patterns of cell shape.
Recently, the use of multivariate pattern classification in neuroimaging has enabled diagnostic separation at a single patient level.
Analysis of enhancement patterns following intravenous contrast has enabled a functional component to MRI studies.
The distinguishable pattern of canonical base pairs has enabled ab initio prediction of the secondary structure, typically by minimization of the global free energy associated with involved structure elements [ 7- 10].
The determination of genome-wide linkage disequilibrium (LD) patterns through the HapMap project has enabled the selection of markers for efficient genome-wide association (GWA) studies in human samples[ 8].
At the same time, advancement of pit pattern diagnosis using a magnifying endoscope has enabled preoperative diagnosis of adenomas, carcinomas, adenocarcinomas in an adenoma, and carcinoma without adenomatous components and determination of the invasion depth of carcinoma with high precision.
More specifically, we focus on correlation analysis of pharmacological MRI (phMRI) responses, an approach that has enabled mapping the patterns of connectivity underlying major neurotransmitter systems in vivo.
The ability to study high-resolution genomic patterns of divergence in natural populations has enabled valuable insights supporting a fundamental shift in our understanding of the origins of species.
The use of array technologies to characterise microRNAs (miRNAs) has enabled discovering unique miRNA expression patterns related to clinical features of several cancers.
A combined network/pathway based approach has enabled the elucidation of the temporal patterns of gene expression through which the host response is regulated.
