Use of principal component analysis and the GE-biplot for the graphical exploration of gene expression data.
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H-Profile plots for the discovery and exploration of patterns in gene expression data with an application to time course data.A comparison of methods for classifying clinical samples based on proteomics data: a case study for statistical and machine learning approaches.Identification of a molecular signature for leukemic promyelocytes and their normal counterparts: Focus on DNA repair genes.
P2860
Use of principal component analysis and the GE-biplot for the graphical exploration of gene expression data.
description
2005 nî lūn-bûn
@nan
2005 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Use of principal component ana ...... ation of gene expression data.
@ast
Use of principal component ana ...... ation of gene expression data.
@en
type
label
Use of principal component ana ...... ation of gene expression data.
@ast
Use of principal component ana ...... ation of gene expression data.
@en
prefLabel
Use of principal component ana ...... ation of gene expression data.
@ast
Use of principal component ana ...... ation of gene expression data.
@en
P1433
P1476
Use of principal component ana ...... ation of gene expression data.
@en
P2093
Yvonne Pittelkow
P304
630-2; discussion 632-4
P356
10.1111/J.1541-0420.2005.00366.X
P407
P577
2005-06-01T00:00:00Z