aspectHeatmap | 控制纵横比的热图 | ||
BootstrapClusterTest | 类“BootstrapClusterTest” | ||
BootstrapClusterTest-class | 类“BootstrapClusterTest” | ||
cluster3 | 通过三种方式对数据集进行聚类 | ||
ClusterTest | 类“ClusterTest” | ||
ClusterTest-class | 类“ClusterTest” | ||
cutHclust | 从聚类算法中获取类的列表 | ||
cutKmeans | 从聚类算法中获取类的列表 | ||
cutPam | 从聚类算法中获取类的列表 | ||
cutRepeatedKmeans | 从聚类算法中获取类的列表 | ||
distanceMatrix | 距离矩阵计算 | ||
GenePCA | “GenePCA”类 | ||
GenePCA-class | “GenePCA”类 | ||
hclust-class | “hclust”类 | ||
hist-method | 类“ClusterTest” | ||
identify-method | 类“SamplePCA” | ||
image-method | 类“ClusterTest” | ||
mahalanobisQC | 马氏距离和主成分分析在质量控制中的应用 | ||
Mosaic | “马赛克”级 | ||
Mosaic-class | “马赛克”级 | ||
PCanova | “PCanova”类 | ||
PCanova-class | “PCanova”类 | ||
pcc | 用彩色标记绘制树状图 | ||
PerturbationClusterTest | 扰动ClusterTest类 | ||
PerturbationClusterTest-class | 扰动ClusterTest类 | ||
plot-method | 类“SamplePCA” | ||
plot-method | “GenePCA”类 | ||
plot-method | “马赛克”级 | ||
plot-method | “PCanova”类 | ||
plotColoredClusters | 用彩色标记绘制树状图 | ||
pltree-method | “马赛克”级 | ||
pltree-method | “PCanova”类 | ||
predict-method | 类“SamplePCA” | ||
repeatedKmeans | 从聚类算法中获取类的列表 | ||
SamplePCA | 类“SamplePCA” | ||
SamplePCA-class | 类“SamplePCA” | ||
screeplot-method | 类“SamplePCA” | ||
summary-method | 类“ClusterTest” | ||
summary-method | 类“BootstrapClusterTest” | ||
summary-method | 扰动ClusterTest类 | ||
summary-method | 类“SamplePCA” | ||
summary-method | “马赛克”级 | ||
summary-method | “PCanova”类 | ||
text-method | 类“SamplePCA” |