Importance of data structure in comparing two dimension reduction methods for classification of microarray gene expression data.
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Protein mass spectra data analysis for clinical biomarker discovery: a global review.Histology image analysis for carcinoma detection and grading.Using the information embedded in the testing sample to break the limits caused by the small sample size in microarray-based classification.Investigating the efficacy of nonlinear dimensionality reduction schemes in classifying gene and protein expression studies.Characteristics of genomic signatures derived using univariate methods and mechanistically anchored functional descriptors for predicting drug- and xenobiotic-induced nephrotoxicity.
P2860
Importance of data structure in comparing two dimension reduction methods for classification of microarray gene expression data.
description
2007 nî lūn-bûn
@nan
2007 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի մարտին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Importance of data structure i ...... croarray gene expression data.
@ast
Importance of data structure i ...... croarray gene expression data.
@en
type
label
Importance of data structure i ...... croarray gene expression data.
@ast
Importance of data structure i ...... croarray gene expression data.
@en
prefLabel
Importance of data structure i ...... croarray gene expression data.
@ast
Importance of data structure i ...... croarray gene expression data.
@en
P2093
P2860
P356
P1433
P1476
Importance of data structure i ...... croarray gene expression data.
@en
P2093
Caroline Truntzer
Catherine Mercier
Christian Gautier
Jacques Estève
Pascal Roy
P2860
P2888
P356
10.1186/1471-2105-8-90
P577
2007-03-13T00:00:00Z
P5875
P6179
1015129251