Significance analysis of ROC indices for comparing diagnostic markers: applications to gene microarray data.
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Regularized binormal ROC method in disease classification using microarray data.Comparison and evaluation of methods for generating differentially expressed gene lists from microarray data.A simple method to combine multiple molecular biomarkers for dichotomous diagnostic classification.Not proper ROC curves as new tool for the analysis of differentially expressed genes in microarray experiments
P2860
Significance analysis of ROC indices for comparing diagnostic markers: applications to gene microarray data.
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2004 nî lūn-bûn
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2004 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
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2004 թվականի նոյեմբերին հրատարակված գիտական հոդված
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2004年の論文
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Significance analysis of ROC i ...... tions to gene microarray data.
@ast
Significance analysis of ROC i ...... tions to gene microarray data.
@en
type
label
Significance analysis of ROC i ...... tions to gene microarray data.
@ast
Significance analysis of ROC i ...... tions to gene microarray data.
@en
prefLabel
Significance analysis of ROC i ...... tions to gene microarray data.
@ast
Significance analysis of ROC i ...... tions to gene microarray data.
@en
P2860
P356
P1476
Significance analysis of ROC i ...... ations to gene microarray data
@en
P2093
James J Chen
P2860
P304
P356
10.1081/BIP-200035475
P50
P577
2004-11-01T00:00:00Z