SineFun: Apply sine model on one particular gene vs. other genes

In Oscope: Oscope - A statistical pipeline for identifying oscillatory genes in unsynchronized single cell RNA-seq

Description

Apply sine model on one particular gene vs. other genes

Usage

SineFun(DataInSc,i)

Arguments

DataInSc	a gene-by-sample (isoform-by-sample) matrix indicating the rescaled expression of two genes/isoforms. all values should be bettwen [-1, 1].
i	the gene (isoform) of interest. The function will apply the sine model on gene (isoform) i vs. gene (isoform) j for all j > i. Gene (isoform) i (j) is defined as the gene (isoform )shown in the i (j) th row. i should be smaller than the total number of genes (isoforms).

Value

Output is a list with two sublists, each shows the optimal phi's (shift) and epsilon's (value). N-i entries will be included in each sublist (N is the total number of genes/isoforms). The kth entry indicates results of gene (isoform) i vs. i+k.

Author(s)

Ning Leng

Examples

aa <- sin(seq(0,1,.1))
bb <- sin(seq(0.5,1.5,.1))
cc <- sin(seq(0.9,1.9,.1))
SineFun(rbind(aa,bb,cc), 1)

Oscope documentation built on Nov. 8, 2020, 7:12 p.m.