Since immunohistochemistry and immunofluorescence staining resulted in comparable signals, we used the latter to enable multiple signals detection.
When existing OA BSAs are used for scheduling transmission time-slots in time division multiple access (TDMA), due to the multiple DA signal detection phenomenon a weak performance in average time delay and channel utilization is obtained.
To further improve the performance of using DD, a fast algorithm of multiple-symbol-based signal detection is proposed.
The Bayesian statistical modelling approach has been applied to individual and group cognitive data across multiple cognitive domains, including signal detection that is viewed as encompassing the processes of attention, decision-making and executive functioning [ 11, 12].
The common description of analysis results originated from experiments involving multiple data sources and signal detection method implementations along with the parameterization applied, including provenance information (i.e. the origin of the results with respect to the data, methods and parameter values that have been employed).
A commercial software package called Alamut (Interactive Biosoftware, Rouen, France) integrates multiple reliable, regularly updated data sources and multiple prediction algorithms (for splicing signal detection, PWM, MaxEntScan, NNSplice, GeneSplicer, and HSF are included).
The signal processing method utilized for the miRChip V1 array involved multiple steps including probe specific signal detection calls, corrections for background estimates and global normalization across all signals detected.
In addition to these quality control steps implemented by the pipeline, probes that contained <95% of signals detectable above background signal (detection P-value <0.01) (n = 9,769) and probes with multiple homology (n = 25,083) (see Additional file 3) were excluded.
Here, we see a clear advantage of using data from multiple registries in parallel so that signal detection can be made more specific by focusing on signals that occur concurrently in >1 data source.
