Predictions of the pathological response to neoadjuvant chemotherapy in patients with primary breast cancer using a data mining technique.
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Deformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapyPersonalized chemotherapy selection for breast cancer using gene expression profilesUrinary Polyamine Biomarker Panels with Machine-Learning Differentiated Colorectal Cancers, Benign Disease, and Healthy Controls.
P2860
Predictions of the pathological response to neoadjuvant chemotherapy in patients with primary breast cancer using a data mining technique.
description
2012 nî lūn-bûn
@nan
2012 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի հունիսին 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
@zh-cn
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
@yue
name
Predictions of the pathologica ...... using a data mining technique.
@ast
Predictions of the pathologica ...... using a data mining technique.
@en
Predictions of the pathologica ...... using a data mining technique.
@nl
type
label
Predictions of the pathologica ...... using a data mining technique.
@ast
Predictions of the pathologica ...... using a data mining technique.
@en
Predictions of the pathologica ...... using a data mining technique.
@nl
prefLabel
Predictions of the pathologica ...... using a data mining technique.
@ast
Predictions of the pathologica ...... using a data mining technique.
@en
Predictions of the pathologica ...... using a data mining technique.
@nl
P2093
P2860
P1476
Predictions of the pathologica ...... using a data mining technique.
@en
P2093
L W C Chow
M Sugimoto
P2860
P2888
P304
P356
10.1007/S10549-012-2109-2
P407
P577
2012-06-12T00:00:00Z
P6179
1020818178