Cluster analysis is appealing for its intuitive nature, and is typically used for sample outlier detection, identification of globally distinct subgroups of samples, and identification of distinct subgroups of samples using pre-selected lists of features (e.g. genes, voxels, etc).
GC coupled with tandem MS was used for sample quantification and detection.
Gas chromatography with flame ionization detection was used for sample analysis.
A gas chromatograph/mass spectrometer (type Q1000, Japan Electronics Co., Japan) was used for urine sample detection.
For statistical analysis of cytokine measurements, the value of the detection limit was used for samples that did not reach the detection limit.
Many factors may have influenced these different estimates, including the intensity of immunosuppression, the type of sample used for CMV PCR detection, frequency of measurement, type of transplantation, or percentage of patients at high risk for CMV reactivation.
The ImmunoChip-specific population frequency of the minor allele (BAF for each SNP for calibration; distinct from the BAF signal for each SNP and sample used for CNV detection) was generated to inform CNV calls, which is a standard input parameter for the PennCNV algorithm.
However, because different dilution factors were used for different sample types, the detection limit varied from sample type to sample type.
Alexa Fluor-conjugated secondary antibodies were used for detection, and samples were counterstained with 4′6-diamidino-2-phenylindole (DAPI, Sigma).
(1) and (2), and W is the length of the sensing window, i.e., the number of baseband samples used for each detection decision.
