A robust meta-classification strategy for cancer detection from MS data.
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A hybrid feature subset selection algorithm for analysis of high correlation proteomic dataClassification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles.A data-mining approach to biomarker identification from protein profiles using discrete stationary wavelet transform.Ovarian cancer classification based on dimensionality reduction for SELDI-TOF data.Classification of G-protein coupled receptors based on support vector machine with maximum relevance minimum redundancy and genetic algorithm.The wisdom of the commons: ensemble tree classifiers for prostate cancer prognosis
P2860
A robust meta-classification strategy for cancer detection from MS data.
description
2006 nî lūn-bûn
@nan
2006 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
name
A robust meta-classification strategy for cancer detection from MS data.
@ast
A robust meta-classification strategy for cancer detection from MS data.
@en
type
label
A robust meta-classification strategy for cancer detection from MS data.
@ast
A robust meta-classification strategy for cancer detection from MS data.
@en
prefLabel
A robust meta-classification strategy for cancer detection from MS data.
@ast
A robust meta-classification strategy for cancer detection from MS data.
@en
P2093
P2860
P356
P1433
P1476
A robust meta-classification strategy for cancer detection from MS data.
@en
P2093
Arnold J Levine
Babu Venkataraghavan
Gyan Bhanot
P2860
P304
P356
10.1002/PMIC.200500192
P577
2006-01-01T00:00:00Z