Amir Ben-Dor, Nir Friedman, Zohar Yakhini
Overabundance Analysis and Class Discovery in Gene Expression Data
2002
[PDF][Web Site]
・サンプルクラス分け法の "Overabundance analysis" の提案。
・データ
1.Leukemia [Golub]
2.Colon [Alon]
3.Lymphoma [Alizadeh]
・遺伝子ランキング法
1.TNoM (Threshold Number of Misclassification) [Ben-dor]
2.INFO (Conditional Entropy) [Ben-dor]
・クラス分け評価法:LOOCV
・特性「Overabundance analysis allows us to compare the support of different partitions of the same data set.」
・方法「In the current work we take a direct unsupervised approach to class discovery. The process we develop consists of two components. We start by defining a figure of merit to putative partitions of the set of samples. We are guided by the fact that biologically meaningful partitions of the samples are typically manifested by a large overabundance of genes that are differentially expressed in the different sample classes.」
・歯がたたない。内容理解できず。
Overabundance Analysis and Class Discovery in Gene Expression Data
2002
[PDF][Web Site]
・サンプルクラス分け法の "Overabundance analysis" の提案。
・データ
1.Leukemia [Golub]
2.Colon [Alon]
3.Lymphoma [Alizadeh]
・遺伝子ランキング法
1.TNoM (Threshold Number of Misclassification) [Ben-dor]
2.INFO (Conditional Entropy) [Ben-dor]
・クラス分け評価法:LOOCV
・特性「Overabundance analysis allows us to compare the support of different partitions of the same data set.」
・方法「In the current work we take a direct unsupervised approach to class discovery. The process we develop consists of two components. We start by defining a figure of merit to putative partitions of the set of samples. We are guided by the fact that biologically meaningful partitions of the samples are typically manifested by a large overabundance of genes that are differentially expressed in the different sample classes.」
・歯がたたない。内容理解できず。