GEO_QC.cluster: QC.cluster

In shijianasdf/BasicBioinformaticsAnalysisFromZhongShan: Launch Usual Clinical tool for Kind Yield

Description

QC.cluster()通过选取少数基因进行聚类，从而判断分组的差异程度。QC.cluster()基于hwb_BI::heatmap.dds()函数。输出结果为heatmap图。

Usage

QC.cluster(DesignEset,
           contrast,
           select.c=1000,#选取的基因数
           seed=2018,
           savefile=F,
           log.convert = F,
           names="GSE1231",#part of file name
           cluster_rows = T,
           cluster_cols =T,
           row.k = 4)

Author(s)

Weibin Huang

Examples

data(DesignEset)
contrast=list(c("N1.plus","N1"),c("N1.plus","N0"),c("N1","N0")) # a list that contain lots of contrasts.
QC.cluster(DesignEset,
           contrast,
           select.c=1000,#选取的基因数
           seed=2018,
           savefile=F,
           log.convert = F,
           names="GSE1231",#part of file name
           cluster_rows = T,
           cluster_cols =F,
           row.k = 4)

shijianasdf/BasicBioinformaticsAnalysisFromZhongShan documentation built on Jan. 3, 2020, 10:08 p.m.