Spellman


Yeast cell-cycle data set was divided into four subsets which correspond to the four different synchronization methods: alpha arrest (alpha), arrest of cdc15 or cdc28 temperature-sensitive mutant (cdc15 and cdc28), and elutriation (elu). We filtered out genes which have overall missing values >= 10% or log2 transformed standard deviation >= .45. 1025 genes were left, and the number of time points in the experiments were 18, 24, 17, and 14 for alpha, cdc15, cdc28, and elu, respectively. Additionally, we have imputed missing values using knn. 


MetaPCA

MetaPCA implements simultaneous dimension reduction using
PCA when multiple studies are combined. We propose two basic
ideas to find a common PC subspace by eigenvalue maximization
approach and angle minimization approach, and we extend the
concept to incorporate Robust PCA and Sparse PCA in the
meta-analysis realm.

Don Kang

MetaPCA: Meta-analysis in the Dimension Reduction of Genomic
data

Spellman function

A list containing 4 matrices. Each matrix is gene expression data after gene filtering.

Spellman: 4 Spellman cancer studies

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