Description Usage Arguments Value Author(s) Examples
Run Extended Nearest Insertion and 2opt on a gene cluster identified by OscopeKM function
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ClusterList 
a list of gene clusters. Each sublist contains a vector of gene names. 
DataIn 
genebysample matrix or isoformbysample matrix.It should be rescaled to values bwteen [1,1]. 
i 
the cluster of interest. If the second cluster in ClusterList is of interest, specify i=2. 
Ndg 
degree of polynomial. 
NChun 
number of starting points for polynomial fitting. 
RdmStart 
whether the start points are randomly selected. 
N,NCThre 
The 2opt algorithm will stop if N iterations has been performed or if the optimal order remains unchanged for over NCThre iterations. 
This function performs the extended nearest insertion (ENI) and 2opt algorithm to a particular cluster identified by OscopeKM function. The ENI algorithm searchs for the optimal sample order which minimizes the MSE of sliding polynomial regression (SPR). This function will call PipeShiftCDF() function, which fits SPR to each row of the data. For each gene/isoform, SPR fits NChun polynomial curves with different starting points (samples). The samples with smaller order than the start point will be appended to follow the last sample when fitting. So each fitting consider same number of samples. If RdmStart = TRUE, the start points are randomly selected. Otherwise they are evenly sampled along the sample order. The aggregated MSE of a fit (using a specific start point) is defined as the summation of the MSEs of all genes/isoforms considered here. The MSE of the SPR is defined as the largest aggregated MSE across fits using different start points. The output of PipeShiftCDF() returns the optimal order which provides the smallest SPR MSE. The 2opt algorithm is then applied to improve the optimal order searching of the ENI. In each iteration, 2opt algorithm will randomly choose two points (samples), the flip the samples between these two points. The new order will be adapted if it provides smaller SPR MSE. The output returns the optimal order for the cluster of interest.
Ning Leng
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Loading required package: EBSeq
Loading required package: blockmodeling
Loading required package: gplots
Attaching package: 'gplots'
The following object is masked from 'package:stats':
lowess
Loading required package: testthat
Loading required package: cluster
Loading required package: BiocParallel
ENI of ; inserting samples:

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2opt of
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