
Trevor Hastie, Robert Tibshirani, David Botstein and Patrick Brown
Supervised harvesting of expression trees
Genome Biology 2001, 2:research0003.1-0003.12
[PDF][Web Site]
・遺伝子のクラス分け法 'tree harvesting' の提案。Hierarchical clusteringの結果(各クラスタの平均発現量)をフィードバックして再計算。評価関数の値が収束するまで繰り返す。
・データ
1.Diffuse large cell lymphoma (DLCL), 36 patients, 3624 genes [Alizadeh]
2.Human tumor data, 61 samples, 6830 genes [Ross, Scherf]
・提案法「This technique starts with a hierarchical clustering of genes, then models the outcome variable as a sum of the average expression profiles of chosen clusters and their priducts.」
・提案法「The basic method has two components: a hierarchical clustering of the gene expression profiles, and a response model. The average expression profile for each cluster provides the potential features (inputs) for the response model.」
・アルゴリズムがさっぱり理解できず。
Supervised harvesting of expression trees
Genome Biology 2001, 2:research0003.1-0003.12
[PDF][Web Site]
・遺伝子のクラス分け法 'tree harvesting' の提案。Hierarchical clusteringの結果(各クラスタの平均発現量)をフィードバックして再計算。評価関数の値が収束するまで繰り返す。
・データ
1.Diffuse large cell lymphoma (DLCL), 36 patients, 3624 genes [Alizadeh]
2.Human tumor data, 61 samples, 6830 genes [Ross, Scherf]
・提案法「This technique starts with a hierarchical clustering of genes, then models the outcome variable as a sum of the average expression profiles of chosen clusters and their priducts.」
・提案法「The basic method has two components: a hierarchical clustering of the gene expression profiles, and a response model. The average expression profile for each cluster provides the potential features (inputs) for the response model.」
・アルゴリズムがさっぱり理解できず。
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