A multiscale and multiparametric approach for modeling the progression of oral cancer
about
Estimating the optimal threshold for a diagnostic biomarker in case of complex biomarker distributionsOral cancer prognosis based on clinicopathologic and genomic markers using a hybrid of feature selection and machine learning methods.Machine learning applications in cancer prognosis and predictionHigh expression of stathmin 1 is a strong prognostic marker in oral squamous cell carcinoma patients treated by docetaxel-containing regimens.
P2860
A multiscale and multiparametric approach for modeling the progression of oral cancer
description
2012 nî lūn-bûn
@nan
2012 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年学术文章
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2012年學術文章
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name
A multiscale and multiparametric approach for modeling the progression of oral cancer
@ast
A multiscale and multiparametric approach for modeling the progression of oral cancer
@en
A multiscale and multiparametric approach for modeling the progression of oral cancer
@nl
type
label
A multiscale and multiparametric approach for modeling the progression of oral cancer
@ast
A multiscale and multiparametric approach for modeling the progression of oral cancer
@en
A multiscale and multiparametric approach for modeling the progression of oral cancer
@nl
prefLabel
A multiscale and multiparametric approach for modeling the progression of oral cancer
@ast
A multiscale and multiparametric approach for modeling the progression of oral cancer
@en
A multiscale and multiparametric approach for modeling the progression of oral cancer
@nl
P2093
P2860
P356
P1476
A multiscale and multiparametric approach for modeling the progression of oral cancer
@en
P2093
Dimitrios I Fotiadis
Konstantinos P Exarchos
Yorgos Goletsis
P2860
P2888
P356
10.1186/1472-6947-12-136
P577
2012-11-22T00:00:00Z
P5875
P6179
1029436819