The sampling scheme in [15] is demonstrated to possess great reconstruction performance with time domain modulation measurement functions constructed by Bernoulli random matrix and Gabor window sequences, such as piecewise spline or B-spline window sequences.
Interestingly, with appropriate weighting coefficients, the exponential reproducing window sequences can be synthesized to a simple exponential function.
It cuts the time domain with modulated window sequences, namely Gabor frames, and recovers exact time locations and shape with CS algorithms.
Once LAIRX has terminated we are assume that the respective window sequences' anomaly indicator has converged almost surely to some target given the cut-off.
In fact, the time duration of the signal is [0, T] and the sampling rate is restricted to 1/T, so that the window sequence can be truncated.
The first and main contribution of this paper is introducing the exponential reproducing windows into Gabor sampling scheme and reducing the time domain modulation functions, constructed by appropriately weighted window sequences, to simple exponential functions.
At each step of transcriptional analysis, the possible secondary structures for the window sequence are predicted with mfold.
For exons with small RNA reads localized to a small window, sequences surrounding the small RNA reads were extracted and fold predictions were generated using RNAfold.
This is achieved by ranking all sliding window sequences within a precursor according to the NBC output and selecting the top ranking candidate (i.e. the Top Scorer) as the predicted mature miRNA (i.e. the computational truth).
(C + G) SW represents the sum of C and G occurrences in the sliding window sequence.
